Development and validation of an instrument to measure organizational cultures’ support of Business Process Management

A configuration taxonomy based on business process orientation: evidence from organizations in Indonesia

Purpose

This study aims to develop a taxonomy of organizations according to business process orientation (BPO) maturity and investigate the difference between clusters in terms of performance outcome.

Design/methodology/approach

A survey of various organizations in Indonesia is conducted. The main variables are critical practices (CPs) as the measurement variables of BPO maturity and performance outcome. Cluster analysis is performed to obtain an empirical taxonomy of the organizations. ANOVA test is used to test if there are statistically different performance outcomes across different clusters.

Findings

Cluster analysis resulted in six archetypes labeled according to their characteristics: Beginners, Non-technical, Domestics, IT laggards, Excellers, and Champions. The ANOVA test results show that the archetypes with high CPs tend to have high perceived performance results.

Research limitations/implications

This study is limited because the authors use a single dataset from organizations in Indonesia. Further study involving more organizations will be beneficial to validate and enrich the taxonomy of organizational archetypes.

Practical implications

Results of the study can be used as a benchmarking tool by organizations to identify their positions against other organizations and set their areas for improvement. It can also help them identify a roadmap for improvement that will benefit their organization.

Originality/value

Using the CPs as a measure of BPO enables the authors to identify supplier orientation and information and technology (IT) implementation as the primary differentiators within the taxonomy. The use of IT differentiates the bottom, middle and top clusters.

An Integrated Success Model of Internet of Things (IoT)-Based Services in Facilities Management for Public Sector

The rapid growth of the Internet of Things (IoT) has vigorously affected government by enhancing quality and efficiency of public services. However, the application of IoT-based services in public sectors is slow, despite its benefits to citizens. Research is needed to deepen understanding of the factors that influence the successful implementation of facilities management as the Internet-of-Things-based services in public sectors. An integrated model is developed and validated to extend the DeLone and McLean IS success model by including technology readiness and other identified factors which impact the use of facilities management of IoT-based services in public sectors from the perspective of employees. An online questionnaire was developed and distributed to employees from all local authorities throughout Malaysia, and 187 usable responses were collected. The partial least squares structural equation modelling approach was used to test the model, with 90.8% of the variance in IoT-based services, suggesting an acceptable model fit with seven out of nine hypotheses were supported. Thus, the empirical evidence exerts significant effects of technology readiness towards the success of IoT-based facility management in the public sector.

Investigating the Role of Green Hotel Sustainable Strategies to Improve Customer Cognitive and Affective Image: Evidence from PLS-SEM and fsQCA

Partial least square structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were used to uncover the determinants of customers’ overall positive image of green hotels, which can affect behavioral intentions. A sample of 323 customers of 54 four- and five-star “green” hotels in the Sultanate of Oman were surveyed. The findings can explain the complex process shaping customers’ perceived image. The fsQCA analysis shows that the overall positive image of green hotels was driven by the interaction of two core conditions, environmental values and cognitive image, and one peripheral condition, low-carbon knowledge. Together, these factors are sufficient to form a favorable image of eco-hotels and could make a favorable affective image unnecessary. The PLS-SEM approach clarifies that this process takes place through an indirect mechanism wherein environmental values and low-carbon knowledge shape customers’ cognitive image, which then boosts the overall positive image of eco-hotels. Such comprehensive insights address the gap in the body of literature vis à vis the influence of customers’ psychological factors through cognitive and affective images. Theoretical and practical implications are examined.

Boosting Sustainability through Digital Transformation’s Domains and Resilience

Sustainability is a must for all businesses in all industries. It can boost company image and productivity while being aligned with customer needs. On the other hand, digital transformation (DT) is vital for business environments, and organizations need to be resilient in the face of crises such as COVID-19. The main objective of our study is to figure out how DT and organizational resilience might help businesses become more sustainable. This study presents a model that explains social, environmental, and economic sustainability considering the domains of DT and organizational resilience. Our model is evaluated on the data gathered by 208 c-suite leaders from various Iranian companies. The model was empirically validated through a quantitative method of Partial Least Squares/Structural Equation Modeling (PLS/SEM) technique. The findings reveal that the five studied factors have substantial impact on the sustainability of Iranian organizations including data-driven, business process innovation, customer engagement, organizational resilience, and competitive advantages.

The Influence of Entrepreneurial Education and Psychological Capital on Entrepreneurial Behavior Among College Students

This research investigated the influence of entrepreneurial education (EE) on entrepreneurial behavior (EB) through psychological capital (PC). A cross-section survey data of 1,405 college students in China were used to test the proposed hypothesis based on human capital theory and PC literature. The research found that EE had direct effects on EB and on all four sub-constructs (hope, self-efficacy, resilience, and optimism) of PC, and that only self-efficacy positively correlated with EB and mediated the relationship between EE and EB while the other three components of PC did not. These findings contribute to the understanding of both educational and psychological effects on EB. The study also has practical implications for policymakers, managers, and educators in entrepreneurial education.

Business Process Management Culture in Public Administration and Its Determinants

Public administration institutions increasingly use business process management (BPM) to innovate internal operations, increase process performance and improve their services. Research on private sector companies has shown that organizational culture may impact an organization's BPM and this culture is often referred to as BPM culture. However, similar research on public administration is yet missing. Thus, this article assesses BPM culture in Germany’s municipal administration. 733 online survey responses were gathered and analyzed using MANOVA and follow-up discriminant analyses to identify possible determinants of public administration’s BPM culture. The results indicate that the employees’ professional experience and their responsibility influence the assessment of BPM culture, as does the size of a municipality. Based on these findings, the article proposes testable relationships and an agenda for further research on BPM culture in public administration.

Evaluation of Process Orientation Dimensions in the Apparel Industry

The dimensions that influence the establishment of business process management (BPM) practices and the progression to higher levels of process maturity derive from exploring the dimensions of process orientation of organizations. Small and medium-sized clothing enterprises (SME’s) are characterized by various specifics that can affect the degree of process orientation adoption and the pace of transition from lower to higher levels of process maturity. According to these specifics, the acceptance of the process approach may be differently affected. For the purpose of adequate evaluation and prioritization of the most influential dimensions, a new integrated multicriteria decision-making (MCDM) model that combines classical and fuzzy theory was developed. First, the full consistency method (FUCOM) method was applied, followed by the fuzzy pivot pairwise relative criteria importance assessment (fuzzy PIPRECIA) method to obtain more accurate criteria values. Prioritization of the most influential BPM dimension contributes to highlighting the area of business that needs to be primarily strengthened by appropriate actions for successful establishment of BPM in apparel industry SMEs. Within this research, the prioritized dimension refers to human resource management in accordance with the specific aspects of business within the apparel industry.

PERCEIVING VALUE IN ORGANISATIONAL INNOVATION: BUILDING A CULTURE OF CHANGE

This paper uses Transactional Management Theory to examine the extent to which an organisational culture is apt to encourage organisational innovation by using reward mechanisms. We gathered responses from 208 middle managers in the United States and Mexico where firms acquire varying blends of organisational orientations and leadership styles. We found performance orientation, modesty, humane orientation and power distance to be significantly related to reward mechanisms, but not all positively. We also found that the practice of rewarding innovation creates value in such a practice.

Developing a measurement instrument for coping with occupational stress in academia

Orientation: Occupational stress leads to devastating consequences for academia, which include teaching below standard, conflict with students and seeking employment elsewhere. The stressors that academics experience will continue to increase unless they adopt strategies to cope with these demands.Research purpose: The objective of this research was to construct a valid and reliable measurement instrument which could be used to explore how academics cope with occupational stress.Motivation for the study: There is no clear consensus about the conceptualisation of the coping construct and the categorisation and measurement of numerous coping strategies. Also, as working in academia is highly stressful, there is a need for developing a measuring instrument that holistically measures coping with occupational stress in South African higher education institutions.Research approach/design and method: A three-phase instrument development process was followed. A quantitative, cross-sectional online survey was administered to a convenience sample of 305 employees employed in a higher education institution in the Gauteng province of South Africa.Main findings: A nine-dimensional, 33-item measuring instrument was developed for exploring how academics cope with occupational stressors.Practical/managerial implications: If industrial and organisational psychologists could appreciate the consequences of occupational stress and comprehend the complexities of the coping process, then they would be able to design and implement wellness practices that should not only promote the health and well-being of academics but also the institution.Contribution/value-add: A psychometrically sound measuring instrument, The Comprehensive Coping Strategies Questionnaire, was developed within the South African higher education context that would allow industrial and organisational psychologists to determine which coping strategies academics adopt in response to occupational stressors.

Competency profiles for lean professionals – an international perspective

Purpose

Requirements for business improvement professionals depend on different job characteristics. By focussing on lean management, the purpose of this paper is twofold: first, to provide a comprehensive conceptualisation of competencies relevant for lean professionals by comparing them to an existing project management competency framework; and second, to identify their similarities and differences in three different analysed countries.

Design/methodology/approach

This paper investigates 2,701 online published job advertisements in the USA, UK and Germany by means of a content analysis to compare and contrast the respective job profiles.

Findings

Main findings are similarities and differences in the specification and perception of lean professional’s roles among the three countries. Strikingly, four out of eight considered competency categories comprise 74 per cent of the profiles’ most relevant keywords. Additionally, with the help of a latent semantic analysis, 16 specific competencies can be summarised in a lean professional’s competency taxonomy.

Research limitations/implications

The collected data only represent a snapshot of lean professionals’ advertisements. Also, text mining results from job profiles could largely differ from other techniques like recruiter interviews or company surveys. Further research could use different methods or combine them to construct a more complete model.

Practical implications

Lean education and training as well as the respective candidate selection processes can benefit from these studies’ results.

Originality/value

Requirements and job contents for lean professionals have not been empirically researched on a comparable in-depth level before, even though their expertise is in high demand in any kind of business sector.

Development and validation of an instrument to measure and manage organizational process variety

Organizational processes vary. Practitioners have developed simple frameworks to differentiate them. Surprisingly, the academic literature on process management does not–it typically strives for one method to manage all processes. We draw on organizational information-processing theory to systematically develop a new, theoretically motivated classification model for organizational processes. We validate this model using survey data from 141 process practitioners of a global corporation. We derive three distinct types of processes and demonstrate that an understanding of process variety based on process dimensions can differentiate processes better than existing frameworks used in practice. Our findings can enable process managers to make informed decisions and serve as a basis for contingent process management.

Development and validation of an instrument for multidimensional top management support

Purpose

Literature reveals that there is a paucity of instruments to measure multidimensional top management support (TMS). The multidimensionality and the complexity of the TMS cannot be reflected by a single-dimensional construct. The purpose of this paper is to develop and validate an instrument for the measurement of multidimensional TMS.

Design/methodology/approach

In this cross-sectional study, exploratory and confirmatory factor analyses were performed to check the validity and model fitness based on sample data collected from the PMI community. Ordinary least square and structural equation modeling techniques were used to test the research hypotheses and validate multidimensional TMS.

Findings

The findings revealed a significant positive correlation among all dimensions of top management and their significant influence on project success, especially on project efficiency and team dimensions.

Research limitations/implications

Based on the existing knowledge through a coherent and refined process, the development and validation of a top management support questionnaire (TMSQ) made a significant contribution to theories and research methods.

Practical implications

Multidimensional TMS provides an opportunity to ensure provision of apt assistance throughout the implementation of projects for improving organizational performance across the industries.

Originality/value

This study targeted a sample size of 300 to develop and validate an instrument, which is in line with previous research studies on the development and validation of a reliable instrument. To operationalize TMSQ, this study adopted an online survey and received 208 responses (69 percent) from the PMI community.

Using Data Labels to Discover Moderating Effects in PLS-Based Structural Equation Modeling

PLS-based structural equation modeling is extensively used in e-collaboration research, as well as in many other fields of research. Two main types of exploratory analyses are frequently employed in the context of PLS-based structural equation modeling: covariance (or correlation) analyses, where the covariances (or correlations) among all variables are inspected; and model-driven exploratory analyses, where one or more variations of theory-supported models are built and adjusted associations among variables are inspected. These analyses, while useful, provide limited insights about the possible presence of moderating effects. We discuss a general approach through which researchers can employ data labels, implemented as symbols that are displayed together with legends on graphs, to uncover moderating relationships among variables. The discussion is illustrated with the software WarpPLS version 4.0. While the approach is illustrated in the context of e-collaboration research, it arguably applies to any field where PLS-based structural equation modeling can be used.