Integrated technology-organization-environment (T-O-E) taxonomies for technology adoption

Impact of digital health technologies adoption on healthcare workers' performance and workload: perspective with DOI and TOE models

BACKGROUND

Digital health technologies (DHT) have become an integral component of modern healthcare systems, offering the potential to improve healthcare delivery and outcomes. Guided by the Technology-Organization-Environment (TOE) framework, this study examines the impact of DHT adoption on healthcare workers' performance and workload in public and private hospitals in Mogadishu, Somalia.

METHOD

A stratified random sampling approach was used to collect data from 286 healthcare workers in public and private hospitals. Data were analyzed using Structural Equation Modeling (SEM) to test hypotheses and assess direct and mediating relationships among variables.

RESULTS

The analysis revealed that DHT significantly improves healthcare workers' performance and workload respectively (β = 0.452, C.R. = 10.150, p < 0.001) and (β = 0.594, C.R. = 9.972, p < 0.001), organizational and environmental factors are positively impacting on healthcare workers' performance (β = 0.327, C.R. = 8.709, p < 0.001) and (β = 0.102, C.R. = 2.872, p = 0.004). Healthcare workers' performance significantly reduces workload (β = 0.594, C.R. = 9.972, p < 0.001) and the mediating role of healthcare workers' performance between DHT and workload were also confirmed (β = 0.281, C.R. = 5.9787, p < 0.001).

CONCLUSION

The findings underscore the critical role of DHT in enhancing healthcare workers' performance and reducing workload, with the TOE framework and performance acting as significant mediators. These results provide actionable insights for healthcare administrators and policymakers to optimize DHT implementation, support workforce efficiency, and address workload challenges through strategic organizational and environmental adaptations.

A meta-analysis of the impact of TOE adoption on smart agriculture SMEs performance

BACKGROUND

Agricultural SMEs face distinct challenges due to factors such as weather, climate change, and commodity price changes. Technology has become essential in helping SMEs overcome these challenges and grow their businesses. The relationship between technology and SMEs in the agriculture sector covers various aspects, such as using hardware and software, digital applications, sensors, and e-commerce strategies to be examined in further depth through literature study.

PROBLEM STATEMENT

The implementation of the TOE (technology, organization, and environment) framework in smart agriculture faces several challenges. To overcome these challenges, an integrated approach is needed that involves technological capacity building, organizational management changes, and adequate policy and infrastructure support to help SMEs in the agricultural sector develop their businesses.

OBJECTIVES

This research aims to demonstrate and identify how TOE plays an important role in the performance of SMEs, particularly with regard to agriculture in order to improve agricultural productivity, efficiency, and sustainability while enabling access to broader markets in several countries. This study employs a meta-analysis method using a quantitative approach taken by each publication, which typically used SEM.

METHODS

PRISMA technique was used to examine evidence from clinical trials, and clinical significance was determined using the GRADE approach. Statistical analysis was performed using the Fisher test to combine the results of several studies and Cohen's approach to interpreting effect sizes.

FINDINGS

The results of this study are in line with the findings of 27 previous studies which showed a direct positive relationship between TOE construction and the performance of agricultural SMEs, with variables including technological factors, organizational factors, environmental factors, and SME performance. The synergy between technology adoption by agricultural SMEs and Industry 4.0 can increase connectivity and automation in the agricultural sector. However, it is important to remember that adopting TOE to realize the smart agriculture concept has its own challenges and risks, such as resource management (technology), good organizational management (organization), and internal and external organizational environments (environments), including intense competition.

RESEARCH IMPLICATION

TOE adoption improves access to information about competitors and customers, providing practitioners and decision-makers with a clearer understanding. It enables focus on factors with a significant impact on TOE adoption, so that they are more independent in developing effective business concepts that are adaptive to the era of agricultural technology 4.0.

Boruta-driven analysis of telehealth amalgamation across healthcare stratifications with diffuse-dual-channel and tiered-gatekeeper systems

This study aimed to evaluate the adaptation and effectiveness of telemedicine with the diffuse-dual-channel system (DDS) and tiered-gatekeeper system (TGS) across different tiers of the healthcare system on technical-organizational-environmental (TOE) framework. The telemedicine services were extended as Tiered-gatekeeper system (TGS) by Primary and Secondary Healthcare (PSHC) and Diffuse-dual-channel system (DDS) by King Edward Medical University (KEMU) in 2020 benefiting 2605 and 21,905 patients, respectively. This cross-sectional survey is based on a structured questionnaire conducted on 172 healthcare practitioners (HCP) from KEMU and 76 from PSHC selected by purposive sampling and analysis is conducted through descriptive analysis and the Boruta features selection method. The diffuse-dual-channel system is found to be flexible, easy to implement, and impactful due to innate compatibility with prevailing healthcare practices, however, it is a parallel effort to the existing healthcare system. The tiered-gatekeeping system is found to be complex in adaptation initially, but is more organized, deeply integrated, accountable and channelizes the flow of patients, resultantly aiding the preservation of resources.

The configuration path of the balanced compulsory education resources supply in the context of equal rights to rent and purchase: Based on the fsQCA analysis of 31 cities in China

Equal rights to rent and purchase affects the supply of compulsory education resources. How to promote the balanced compulsory education resources supply in the context of equal rights to rent and purchase is currently a hot issue amongst government and society. To achieve such balance, conducting research in the context of equal rights to rent and purchase becomes crucial. However, existing research has yet to provide sufficient explanations for the differentiated paths for realizing the balanced compulsory education resources supply in practice. This study uses 31 cities in China as case samples and jointly applies fuzzy-set qualitative comparative analysis and the 'technology-organization-environment' (TOE) framework. The findings are summarized as follows. Firstly, the balanced compulsory education resources supply in the context of equal rights to rent and purchase is affected by six key technological, organizational, and environmental factors. Namely, data co-construction and sharing, technological infrastructure, attention allocation, government information disclosure, policy support for equal rights to rent and purchase, and level of urban economic development. Secondly, the linkage matching of technological, organizational and environmental conditions forms diversified configurations that drive the balanced compulsory education resources supply in the context of equal rights to rent and purchase. These configurations include the 'organization' driving model, 'technology-environment' driving model, 'technology-organization-environment' driving model, and 'technology-organization' driving model. Finally, eastern, central and western China are driven by different configuration paths. Amongst them, eastern China has relatively good basic conditions at the technological, organizational and environmental levels. The combination of different conditions can drive the balanced compulsory education resources supply in a 'different paths lead to the same destination' manner. Although the development in central China is somewhat restricted, the radiation and impetus from eastern China, in combination with the different conditions in central China, can drive the balanced compulsory education resources supply. Western China shows no advantages at the technological, organizational and environmental levels. Faced with restrictions in organizational and environmental conditions, the government in western China should develop the necessary technological conditions to drive the balanced compulsory education resources supply.

Co-working with robotic and automation technologies: technology anxiety of frontline workers in organisations

Purpose

The advent of robotics and automation technologies was augmenting firm initiatives to attain competitive advantage. From a resource-based view perspective, human-led capabilities were important to operate with technology resource base of an organisation. This was evident for both manufacturing as well as services firms. However, employees as an individual confronted technology anxiety (TA) when they were working with new technologies like robotics and automation technologies. Thus, the purpose of this paper was to examine the factors causing TA.

Design/methodology/approach

Given the novelty of this research study context a qualitative exploratory method was designed. For this research study, the data collected was through in-depth interviews conducted through open-ended semi-structured questionnaire. The data was collected from 62 frontline employees who were working with robotics and automation-based technologies in manufacturing firms. The authors applied thematic content analysis on collected data for analysis.

Findings

Technology anxieties ranged from fear of complete inability to learn new technologies, failure to learn new technologies properly, incapability to implement the learned skills and job loss to younger technology savvy employees. Finally, there was anxiety over job loss as automation and robotic technologies over the years was expected to erode the employment of human workforce altogether.

Research limitations/implications

The author undertook the research study based upon the TA perspective advocated by Meuter et al. (2003) and Yang and Forney (2013). Furthermore, this research study in the context of robotics and automation-based technologies in the manufacturing sector applied the mental accounting theory (Thaler, 1999) and technology self-efficacy perspective (Huffman et al., 2013).

Practical implications

Managers involved in the implementation of robotics and automation-based technologies were required to address TA of employees. Fear of job loss had to be addressed specially in a country like India. Anxiety regarding the ability to learn to work with robotics and automation technologies also was needed to be addressed by managers through adequate training and time for preparation. The benefits of robotics and automation-based technologies for employees as well as organisations have to be ascertained through open communication between the management and the frontline employees.

Originality/value

To the best of the authors’ knowledge, this was one of the first empirical research studies which deliberated regarding TA in the context of frontline workers working with robotics and automation-based technologies in the manufacturing sector. This research study was based upon a combination of varied perspectives ranging from micro foundations theory, TA, mental accounting theory and technology self-efficacy perspective.

Evaluating the adoption of cybersecurity and its influence on organizational performance

Cyberattacks negatively impact the performance of enterprises all around the globe. While organizations invest more in cybersecurity to avoid cyberattacks, studies on the factors affecting their overall cybersecurity adoption and awareness are sparse. In this paper, by integrating the diffusion of innovation theory (DOI), technology acceptance model (TAM), and technology-organization-environment (TOE) with the balanced scorecard approach, we propose a comprehensive set of factors that influence cybersecurity adoption and assess the effects of these factors on organizational performance. Data are collected through a survey of IT experts in small and medium-sized enterprises (SMEs) in the United Kingdom, with 147 valid responses. Structural equation modeling based on a statistical package for the social sciences (SPSS) was used to assess the model. The findings identify and confirm the importance of eight factors affecting SMEs' cybersecurity adoption. Moreover, cybersecurity technology adoption is found to positively impacts organizational performance. The proposed framework depicts variables influencing cybersecurity technology adoption and assesses their importance. The outcomes of this study provide a basis for future research and can be adopted by IT and cybersecurity managers to identify the most appropriate cybersecurity technologies that positively impact their company's performance.

Determinants of blockchain adoption in news media platforms: A perspective from the Vietnamese press industry

Blockchain technology is being applied worldwide. Although a large body of blockchain research has been conducted in various fields, little is known about press perspectives on adopting blockchain in journalism. This study explores the determinants of applying blockchain in journalism activities in Vietnam. Based on Unified Theory of Acceptance and Use of Technology (UTAUT) and previous research, we surveyed 287 people working at press agencies in Vietnam. The results from testing nine research hypotheses show that five factors, namely Technology Affinity, Effort Expectancy, Facilitating Condition, Technology Readiness, and Regulatory Support, positively impact the intention of applying Blockchain in journalism activities in Vietnam. Two factors, namely Performance Expectancy and Trust, were not positively strongly correlated to the use of blockchain. Besides, Regulatory Support is found to have a moderating effect on the relationship between Facilitating Condition and Behavioral Intention.

E-commerce adoption among micro agri-business enterprise in Longsheng, China: The moderating role of entrepreneurial orientation

E-commerce in agri-business enterprises is a potent force in eradicating rural poverty in China. However, it has not reached its potential as many of the agri-business enterprises in rural areas are slow in re-thinking their distribution channel and implementing e-commerce. This study utilizes the multidimensionality of the Tornatsky and Fleisher Technology-Organization-Environment (TOE) framework to provide insights into why rural agri-business enterprises are not adopting e-commerce strategies. Specifically, it examines the moderating role of entrepreneurial orientation (EO) on the relationship between the sub-variables in the three contexts and e-commerce adoption. Empirical data from 192 micro agri-business enterprises were analyzed using PLS-SEM. The results show that relative advantage, organization readiness, competitive pressure, and government support have a direct positive impact on e-commerce adoption except for cost. The results also show that EO does not have a significant role in moderating the variables in the organizational context and environmental context. EO only moderated the relationship between relative advantage in the technology context and e-commerce adoption. This study advances research on e-commerce adoption by highlighting the importance of the owners' EO as a moderator between TOE factors and e-commerce adoption. It suggests that entrepreneurship must be pursued vigorously among agribusiness owners in rural China to enhance the adoption of e-commerce.

Factors influencing open government data post-adoption in the public sector: The perspective of data providers

Providing access to non-confidential government data to the public is one of the initiatives adopted by many governments today to embrace government transparency practices. The initiative of publishing non-confidential government data for the public to use and re-use without restrictions is known as Open Government Data (OGD). Nevertheless, after several years after its inception, the direction of OGD implementation remains uncertain. The extant literature on OGD adoption concentrates primarily on identifying factors influencing adoption decisions. Yet, studies on the underlying factors influencing OGD after the adoption phase are scarce. Based on these issues, this study investigated the post-adoption of OGD in the public sector, particularly the data provider agencies. The OGD post-adoption framework is crafted by anchoring the Technology-Organization-Environment (TOE) framework and the innovation adoption process theory. The data was collected from 266 government agencies in the Malaysian public sector. This study employed the partial least square-structural equation modeling as the statistical technique for factor analysis. The results indicate that two factors from the organizational context (top management support, organizational culture) and two from the technological context (complexity, relative advantage) have a significant contribution to the post-adoption of OGD in the public sector. The contribution of this study is threefold: theoretical, conceptual, and practical. This study contributed theoretically by introducing the post-adoption framework of OGD that comprises the acceptance, routinization, and infusion stages. As the majority of OGD adoption studies conclude their analysis at the adoption (decisions) phase, this study gives novel insight to extend the analysis into unexplored territory, specifically the post-adoption phase. Conceptually, this study presents two new factors in the environmental context to be explored in the OGD adoption study, namely, the data demand and incentives. The fact that data providers are not influenced by data requests from the agency's external environment and incentive offerings is something that needs further investigation. In practicality, the findings of this study are anticipated to assist policymakers in strategizing for long-term OGD implementation from the data provider's perspective. This effort is crucial to ensure that the OGD initiatives will be incorporated into the public sector's service thrust and become one of the digital government services provided to the citizen.

Does the regional environment matter in ERP system adoption? Evidence from Russia

Purpose

This paper explores the effect the regional technological environment has on technology-driven performance, measured by enterprise resource planning (ERP).

Design/methodology/approach

This study specifies a productivity-based production function driven by ERP system adoption. Employing a quasi-experimental research design, the author disentangles two effects – the average effect of ERP adoption and the moderation effect of the regional technological environment. The novelty of this study is that it merges publicly available information retrieved via text-mining tools and official financial reports published by companies.

Findings

The total effect of technology adoption on productivity varies from almost 3%–9% in different technological environments. Moreover, this study’s results revealed that the regional technological environment could enhance the effect of adopting different ERP systems.

Originality/value

While some papers investigate the relationship between ERP adoption and firm performance regarding the environmental context of a firm, the effect of the regional technological environment on the relationship between technology adoption and firm performance is understudied. Thus, this research tries to contribute to a deeper understanding of the regional context's impact on technology-driven performance. The authors used automated content analysis to collect data on technology adoption; by doing so, this study contributes to the growing body of research utilising the text-mining approach to extract data stored in Internet-based information sources.

Factors Influencing Cloud Computing Adoption Among SMEs: The Jordanian Context

Cloud computing technology has proved to be an important technological solution, especially for small and medium- sized businesses (SMEs), by providing many opportunities for companies to enhance their operations, reduce cost, improve scalability and flexibility, and make more efficient use of technology. Despite its benefits, most SMEs are still hesitant about adopting cloud computing. The purpose of this study is to assess the factors that influence cloud computing adoption among SMEs in Jordan. This study does so by developing a research model based on the Technology Organization Environment (TOE) and Diffusion of Innovation (DOI) .These theories overlap in terms of the characteristics that strengthen the explanation of adoption. An online questionnaire was used to collect data from 244 SMEs registered in Jordan. A multiple regression test was implemented to examine the proposed model. The results indicate that seven factors significantly affect cloud computing adoption among SMEs. Among these factors, cost reduction was found to be the strongest predictor, while the weakest predictor was firm size. However, the firm’s scope insignificantly influenced cloud computing adoption among SMEs in Jordan. This finding could provide insights for SMEs decision- makers when it comes to adopting cloud computing. In addition, it provides insights for practitioners in terms of recognizing the important factors that encourage or prevent SMEs from adopting cloud computing.

Factors stimulating value micro-businesses attribute to digital marketing technology (DMT) adoption

Most micro-business managers in Nigeria do not see the adoption of digital marketing technology (DMT) as vital for business. Many consider it as a precondition to support managerial or operational activities, not as a tactical and/or strategic tool. Although most studies focused on large organisations, the outcome of such research may not be appropriate to micro-businesses. This is informed by the negligence of micro-businesses’ idiosyncrasies and their thought of digitalization as a precondition for managerial activities without considering the value small businesses attached to these devices in terms of aiding the use as strategic tools. This renders micro-businesses’ digitalization an under-reflected phenomenon. Yet, studies spend less on examining the factors that specifically stimulate the value micro-businesses attach to these applications, leading to constant adoption and usage. Hence, there is a need for a thorough exploration of the factors that shape the value of digital marketing applications in micro-businesses in Nigeria. The study is qualitative in nature and interviews (unstructured and semi-structured) were carried out with 26 micro-businesses which was drawn purposefully from the online database and underpinned by Technology, Organisation and Environment (TOE) framework. The study revealed eleven (11) critical success factors stimulating value micro-businesses attribute to digital marketing technology (DMT) adoption. These factors include long-term functional capacity, integration capacity, expansion capacity which are related to technology context. Collective capability, collaborative experience are linked to the organisation context while adaptive training, service delivery, customer fulfilment are linked to environmental context. The study also unveiled expectancy context which is linked to budget, growth and profitability and aid in the extension of the TOE framework. This study will be of importance to academics and practitioners because it provides further awareness into DMT adoption framework, factors critical to the DMT adoption and may assist in reducing the number of resources spent in search of information aimed at helping DMT adoption by micro-businesses.

Exploring the Elements Influencing the Behavioral Adoption of E-Commerce by Chinese Small and Medium Enterprises (SMEs)

This study investigated the behavioral adoption of electronic commerce (EC) among small and medium enterprises (SMEs) in China. This was undertaken by integrating the Technological, Organizational, and Environmental (TOE) framework into the Unified Theory of Acceptance and Use of Technology (UTAUT). The data generated from 349 SMEs were analyzed with SPSS and SmartPLs 3.0 via the utilization of the structural equation modeling (SEM) procedure. The results reveal that while the environmental factor was a positive predictor of the performance expectancy of EC among SMEs, it does not, however, encourage the adoption of EC. Again, while the knowledge factor was not significant in driving the performance expectancy of EC, it was a significant determinant of the adoption of EC among SMEs. Also, the study found that organizational factor was a positive predictor of both performance expectancy and the adoption of EC by SMEs. The technological factor was not a significant predictor of the intention to use EC but was significant in determining the performance expectancy of EC. Finally, the study demonstrated that the performance expectancy of EC was a significant predictor of the behavioral adoption of EC. The managerial and research implications of these findings are deliberated.

Adoption of Artificial Intelligence in Supply Chain Risk Management

The study aims to examine factors that influence the adoption-diffusion process of Artificial Intelligence (AI) in Supply Chain Risk Management (SCRM) across manufacturing, wholesale trade, retail trade, and transportation industries in India. As part of this study, eleven constructs that influence the adoption-diffusion stages of AI in SCRM were identified and examined. A survey was conducted to collect data from supply chain executives, risk professionals, and AI consultants across the manufacturing, wholesale trade, retail trade, and transportation industries in India. Partial least squares structural equation modeling (PLS-SEM) was used to study the data. Results show that these factors have varying degrees of influence and direction on the three stages of adoption of AI in SCRM. The study will enable the leadership team in the organizations to build a roadmap for the adoption, implementation, and routinization of AI in SCRM.

The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees

Big data is rapidly being seen as a new frontier for improving organizational performance. However, it is still in its early phases of implementation in developing countries’ healthcare organizations. As data-driven insights become critical competitive advantages, it is critical to ascertain which elements influence an organization’s decision to adopt big data. The aim of this study is to propose and empirically test a theoretical framework based on technology–organization–environment (TOE) factors to identify the level of readiness of big data adoption in developing countries’ healthcare organizations. The framework empirically tested 302 Malaysian healthcare employees. The structural equation modeling was used to analyze the collected data. The results of the study demonstrated that technology, organization, and environment factors can significantly contribute towards big data adoption in healthcare organizations. However, the complexity of technology factors has shown less support for the notion. For technology practitioners, this study showed how to enhance big data adoption in healthcare organizations through TOE factors.

Analysis of the factors influencing adoption of 3D design digital technologies in Colombian firms

Purpose

The purpose of this study is to analyse the factors influencing intention to adopt 3D design digital technologies (3DDTs) by Colombian firms.

Design/methodology/approach

A conceptual framework was developed using technology-organization-environment (TOE) and technology acceptance model (TAM) theoretical frameworks. From a sample of 138 firms, a structural equation model was analysed with partial least squares (SEM-PLS).

Findings

The study identified that perceived usefulness in the technological dimension; technological competence and top management support in the organizational dimension; and competitive pressures in the environmental dimension, are variables affecting intention to adopt 3DDT. The effects of the mediating variables with respect to intention to adopt the technology are also analysed, such as perceived usefulness on the effect of ease of use; top management support on the effect of technological competence and financial readiness; and competitive pressures on the effect of stakeholder pressure. The model explained 71.1% of the 3DDT intention to adopt.

Practical implications

The model can be used as a guideline to ensure a positive outcome of the 3DDT adoption in organizations. The results could be useful to understand a technological adoption process for digital transformation.

Originality/value

The proposed model integrates some contributions from the TAM and TOE theories and identifies some novel mediating effects that improve its predictive and explanatory power. Furthermore, this is a pioneering study in empirical research on 3DDT in the context of a developing country, specifically in Colombia. The findings from this study provide a foundation for other studies, as well as constructive insights for digital transformation, due to its infancy in an emerging economy.

Exploring Risks in the Adoption of Business Intelligence in SMEs Using the TOE Framework

The business success of small- and medium-sized enterprises (SMEs) increasingly relies on the adoption of various technological innovations. For today’s unpredictable business operations, business intelligence systems (BISs) represent one of the most prominent tools with a significant impact on business performance. However, different internal and external risks may influence BIS adoption. The goal of this paper is to investigate the risks that impact BIS adoption in SMEs, using the Technology, Organization, and Environment (TOE) framework. For that purpose, we develop the logistic regression model, using data collected by a questionnaire survey using a sample of 100 Croatian SMEs. The results indicate the applicability of the TOE theoretical framework for examining BIS adoption in SMEs. Given the results obtained, the sampled SMEs should take into account the internal risks related to the organizational dimension and external risks related to the environmental dimension. Our research did not reveal the significant impact of technological risks that encompass characteristics of considered technological innovation related to the technology dimension.

Barriers to blockchain adoption in health-care industry: an Indian perspective

Purpose

This paper aims to identify barriers toward the adoption of blockchain (BC) technology in Indian health-care industry and also examines the significant issues of BC applications in health-care industry.

Design/methodology/approach

The barriers of the study are identified by two phases including the review of literature and semistructured interviews with hospital staff and administration operating in India. The experts (N = 15) are being taken from top-level management, IT experts and patients from the hospitals. The study implemented integrated total interpretative structural modeling-FUZZY-Cross-impact matrix multiplication applied to classification (TISM-FUZZY-MICMAC) methods for identifying the interrelationship among the barriers.

Findings

A total of 15 barriers have been determined in the Indian health-care industry through discussion with the selected experts. TISM is applied to develop multilevel structure for BC barriers. Further, FUZZY-MICMAC has been used to compute driving and dependent barriers. The findings suggest that low awareness related to legal issues and low support from high level of management have maximum driving power.

Research limitations/implications

The present study applies multicriterion approach to identify the limited barriers in BC adoption in health care. Future studies may develop the relationship and mark down the steps for implementation of BC in health-care setting of a developing economy. Empirical study can be conducted to verify the results along with selected case studies.

Practical implications

The present study identifies the BC adoption barriers in health-care industry. The study examines the pertinent issues in context to major support required, bottlenecks in adoption, key benefits of adoption planning and activities. The technology adoption practices are expected to provide applications such as distributed, secured medical and clinical data and patient centric systems that will enhance the efficiency of the health-care industry.

Originality/value

The study is among few primary studies that identify and analyze the BC adoption in health-care industry.

Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations

Purpose

Human resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI technology is prominently used for talent acquisition in organizations. This research investigates the adoption of AI technology for talent acquisition.

Design/methodology/approach

This study employs Technology-Organization-Environment (TOE) and Task-Technology-Fit (TTF) framework and proposes a model to explore the adoption of AI technology for talent acquisition. The survey was conducted among the 562 human resource managers and talent acquisition managers with a structured questionnaire. The analysis of data was completed using PLS-SEM.

Findings

This research reveals that cost-effectiveness, relative advantage, top management support, HR readiness, competitive pressure and support from AI vendors positively affect AI technology adoption for talent acquisition. Security and privacy issues negatively influence the adoption of AI technology. It is found that task and technology characteristics influence the task technology fit of AI technology for talent acquisition. Adoption and task technology fit of AI technology influence the actual usage of AI technology for talent acquisition. It is revealed that stickiness to traditional talent acquisition methods negatively moderates the association between adoption and actual usage of AI technology for talent acquisition. The proposed model was empirically validated and revealed the predictors of adoption and actual usage of AI technology for talent acquisition.

Practical implications

This paper provides the predictors of the adoption of AI technology for talent acquisition, which is emerging extensively in the human resource domain. It provides vital insights to the human resource managers to benchmark AI technology required for talent acquisition. Marketers can develop their marketing plan considering the factors of adoption. It would help designers to understand the factors of adoption and design the AI technology algorithms and applications for talent acquisition. It contributes to advance the literature of technology adoption by interweaving it with the human resource domain literature on talent acquisition.

Originality/value

This research uniquely validates the model for the adoption of AI technology for talent acquisition using the TOE and TTF framework. It reveals the factors influencing the adoption and actual usage of AI technology for talent acquisition.

Development of IoT based data-driven agriculture supply chain performance measurement framework

Purpose

Performance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.

Design/methodology/approach

This research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).

Findings

“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.

Research limitations/implications

In this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.

Originality/value

By using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.

Cloud Computing Usage in SMEs. An Empirical Study Based on SMEs Employees Perceptions

This paper aims to determine the perception of small and medium-sized enterprises (SMEs) employees regarding the usage of cloud computing services in their activities. The quantitative study was conducted on a sample of 315 respondents employed in Romanian SMEs. Testing of the conceptual model was performed with the WarpPLS 3.0 software. The study aimed to test how several constructs—the perceived benefits, disadvantages and risks, communication process, overall experience of using cloud computing services, perceived image, and empathy regarding the cloud computing services—influence the perception of the cloud computing service quality among SMEs employees. Moreover, employees’ perception regarding the satisfaction of using cloud computing services based on the perceived quality was also tested. We concluded that the perceived benefits and disadvantages of cloud computing service usage, the perception of both the communication process and users’ experience regarding cloud computing service use, empathy, and cloud computing service image positively influence the perceived quality of the cloud computing service usage in SMEs. We did not find evidence that the perceived risks significantly influence the perceived quality of cloud computing services. Finally, we demonstrated that the perceived quality of the cloud computing services positively influences the satisfaction regarding cloud computing services among SMEs employees.

Critical determinants for electronic market adoption

Purpose

Understanding the critical determinants for the adoption of electronic markets (e-markets) is significant for the development of sustainable electronic business. The purpose of this paper is to investigate the critical determinants for the adoption of e-markets in Australian small- and medium-sized enterprises (SMEs) for electronic business.

Design/methodology/approach

A comprehensive review of the related studies is conducted. That leads to the development of a conceptual model for exploring the critical determinants for the adoption of e-markets in Australian SMEs. Such a model is then tested and validated using structural equation modelling on the survey data collected, leading to the identification of the critical determinants for e-market adoption in Australian SMEs.

Findings

The study reveals that perceived direct benefit, perceived trust, top management support and external pressures are critical for the adoption of e-markets in Australian SMEs. Perceived indirect benefit and organization readiness are insignificant for the adoption of e-markets.

Originality/value

This paper contributes to existing electronic business research by enriching the understanding of the critical determinants for the adoption of e-markets in Australian SMEs. Such a study provides government departments, e-market operators and SMEs with practical guidelines for the better use of e-markets in electronic business.

Critical internal organization’s forces influencing sustainability of post ERP in UAE service industry

Purpose

Despite the wide recognition of enterprise resource planning’s (ERP’s) multiple uses, little research has examined the internal forces that influence success after ERP implementation in the service industry. This study aims to identify the factors influencing post-implementation ERP capabilities (PERPC) and improving post-implementation sustainability and user satisfaction (PERPSUS). Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are used for this, with advance managed outsourced solutions (AMOS) and an entanglement view of all firm ERP users.

Design/methodology/approach

A theoretical model is created to explain internal organizational factors impacting post-implementation ERP sustainability and user satisfaction. Data were collected from 152 executive ERP users in two organizations in the UAE. Two CFA models were created.

Findings

The results show that adoption by internal organizational forces leads to more sustainable post-implementation ERP. A 69 per cent variance in user satisfaction and post-implementation ERP sustainability was found through a PERPC model and its dimensions, which are significantly highly correlated.

Research limitations/implications

ERP professionals and stakeholders believe that identification of ERP capabilities (ERPCs) and user satisfaction must be multi-dimensional.

Practical implications

CIOs and ERP professionals could use these results to increase the success of ERP in the service industry, and they can support the inclusion of post-implementation ERP practices.

Originality/value

Using AMOS, this paper explores the role of ERPCs in system sustainability and user satisfaction in the service sector, utilizing stakeholder perspectives and an entanglement view of ERP users in the service industry.