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This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

The purpose of this paper is to investigate the factors that enable total quality management (TQM) implementation in the readymade garment (RMG) sector of Bangladesh. More specifically, the present study is a supplement of the previous call from research to investigate the TQM-enabling factors from a broader aspect of organizational change.

This study was conducted through an online survey, followed by phone calls. Data were collected using a questionnaire survey with 256 respondents of the Bangladeshi RMG sector. The TQM-enabling factors were divided into five distinct groups, based on strategic or overall changes required within an organization for TQM implementation. A theoretical research model was created to investigate the contingency of various TQM-enabling factors. Structural equation modeling (SEM) was applied to confirm the factor that enabled TQM implementation in the RMG sector of Bangladesh.

The main finding of this study shows that structural, strategic, contextual and human resource-enabling factors are significant to TQM implementation in the Bangladeshi RMG sector.

This study has been completed in single time frame. Therefore, consideration of the time factor is completely ignored in this research. Furthermore, understanding of TQM-enabling factors in this research relied on quantitative findings only. Also, this study was limited to one industry and one geographic region. However, this study could determine whether data triangulation will provide a good perception on enabling factors and the methodology can be extended to other industries and regions.

This study provides a research methodology for other manufacturing industries that are planning to implement TQM in their organization. This research will contribute to the existing literature by examining the contingency of various TQM-enabling factors in the context of the Bangladeshi RMG sector, and it, therefore, provides direction to increase the success rate of TQM implementation. Furthermore, the research methodology can be used in other studies for variation of contextual variables such as size of the industry, developed or underdeveloped country and manufacturing or service industry.

The methodology used in this study can lead the way for other industries in the RMG sector that implements TQM in their organization. Also, this research further contributes to the existing literature by investigating the contingency of various TQM enabling factors in the context of the Bangladeshi RMG sector and developing associated strategies to raise success rate of TQM implementation.

This article aims to evaluate total quality management (TQM)-enabling factors' impact on corporate social responsibility (CSR) activities and business performance through evidence from Vietnamese coffee firms.

Based on collecting data via in-depth face-to-face interviews with employees, who are working in the Vietnamese coffee companies. The partial least squares structural equation modeling (PLS-SEM) approach has been employed to investigate the relationship among the TQM-enabling factors, corporate social performance (CSP) and business performance.

A total of 13 TQM-enabling factors have been identified and divided into two categories, namely human and functional. The statistical results revealed a positive signal to remarkably enhance CSP and business performance by adopting those TQM-enabling factors into Vietnamese coffee firms.

The framework model of this research should be evaluated in different contexts worldwide or in another sector that can further identify the TQM-enabling factor and the correlation among these constructs.

This article provides top managers of Vietnamese coffee firms with knowledge of TQM-enabling factors that may enable them to meet superior performance, including CSP, finance and reputation.

This is a unique study to employ the approach into the Vietnamese coffee industry context up-to-date, which is one of the essential sectors affecting Vietnam's sustainable development.

Instructional leadership is a school leadership approach that places great emphasis on enhancing the quality of teaching and learning. This study explored the enabling factors of instructional leadership in subject coordinators.

The participants in this qualitative study were 24 subject coordinators in elementary schools in Israel. Data collection was based on semi-structured interviews, and data analysis included three stages: sorting, coding and categorizing.

The findings identified three significant enabling factors of instructional leadership in subject coordinators: pedagogical knowledge, relationship capability and support from the principal.

This study suggests that the enabling factors of instructional leadership in subject coordinators differ from those of instructional leadership in principals because of their different places in the school structure and explains the enablers of instructional leadership in subject coordinators as middle leaders.

The purpose of this paper is to determine enabling factors influencing the success of technology business incubators (TBIs) with respect to existing and acquired resources, and describe how these enabling factors have been implemented in practice.

The potential enabling factors were identified based on the literature review through the lens of the resource‐based view (RBV) perspective. The Q‐sort method was then applied to classify those factors according to the experts' opinions, for evoking group consensus on the classifications. Finally, a Thailand science park incubator was taken as a case to illustrate the applicability of the findings.

The strategic resources and their categories which can be considered as TBIs' enabling factors were found through the RBV theory. They are important to TBIs' success and improvement of technology‐based SMEs' competitive advantage.

Because of the lack of international comparisons and the experts' panel selection bias, attempts to generalize the findings should be made with caution.

The findings have been formulated into a set of comprehensive recommendations for all stakeholders (mainly public policy makers), which will help to enhance the development of business incubation in Thailand.

The paper presents an approach to determine enabling factors influencing the successful TBIs, coming from the RBV perspective.

This research paper aims to identify and evaluate the enabling factors of agility capability in humanitarian relief chain network.

The research phases were implemented based on an integrated framework. First, a reference framework of the enablers has been constructed based on a literature review. Then, a hybrid evaluation approach is applied that combines fuzzy decision-making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to achieve reliable results. It provides a road map to identify and evaluate the interactions between the enabling factors and determines the weights correspond to their relative importance. This approach takes advantage of fuzzy set theory to deal with ambiguities, uncertainties and vagueness inherent in the evaluation process.

Relief chain agility is a vital determinant of the effectiveness to succeed humanitarian missions during and after natural and unnatural disasters such as earthquakes, epidemics and terrorist attacks. Results shed light on the essential enabling factors, relationships among them, and their importance for developing humanitarian relief chain agility enhancing the overall performance quality.

The integrated framework is implemented for the Red Crescent, a nongovernmental organization in Iran, which is trying to optimize the agility of their humanitarian relief chain network. In short, the findings are beneficial for identification and utilization of the essential prerequisites of agility in order to develop an agile humanitarian relief chain.

Hype about information and communication technology (ICT) emphasizes potential positive outcomes; while enabling factors are under‐emphasized and potential negative outcomes are excluded. The purpose of this paper is to broaden the framing of ICT to include enabling factors and potential negative outcomes.

The paper takes the form of a critical realist study. Critical realist research seeks to improve understanding of causal mechanisms and causal contexts.

Comprehensive enablers for decision making include balanced unambiguous information; specific trustworthy communication; quiet sufficient decision spaces; and independent engaged decision makers. The introduction of a new ICT can make a contribution to, and/or detract from, realization of these principal enabling factors.

In this paper ICT is positioned within a preliminary comprehensive framing of enabling factors for decision making. ICT is used for other purposes. Nonetheless, the positioning of ICT in a preliminary comprehensive framing for decision making support reveals how hype about ICT can be mediated by consideration of enabling factors and potential negative outcomes.

The broader framing of enabling factors can provide a starting point for managers to undertake comprehensive improvement of information, communication, and contexts for decision making.

The originality of this paper is that it applies critical realism to mediate hype about ICTs that could be used to support decision making. The value of this paper is that it provides a detailed description of inter‐related factors that need to be managed in decision making support.

The capability of an organization to perform not only incremental quality improvements to the existing processes and products but also innovative or radical improvements that explore new opportunities is referred to as organizational ambidexterity. Research indicates that the long-term success of organizations demands a dynamic balancing of and excelling at both perspectives. However, there is considerably less clarity as regards how this can be achieved. The purpose of this paper is to empirically explore enabling factors for organizational ambidexterity in the public sector.

This study is a qualitative study based on interviews with managers at two public organizations in Sweden. The analysis is conducted using a soft system methodology.

Nine enabling factors for organizational ambidexterity are identified and presented in two pictures inspired by the Soft System Methodology. The study indicates that it above all is important to create leeway for exploration to achieve organizational ambidexterity in the public sector. The study strengthens the belief that some quality movement values and tools can be considered important, whereas others can counteract the ability to achieve organizational ambidexterity in public administration.

Practitioners and scholars can use the identified enablers and the Soft System Methodology presented in this study to examine and develop the organizational ambidexterity of other public organizations.

This study explores empirically the concept of ambidexterity in the public sector, a perspective that few previous scholars have studied.

The recent pandemic of COVID-19 has posed challenges for delivering essential and desirable health-care services for the masses. Digital health-care services initiated by several hospitals and health practitioners promise efficient and safe health care in the new normal post-COVID era but need a supportive enabling ecosystem. Therefore, this study aims toward identifying and modeling the key enabling factors for digital health-care services.

A total of nine factors were identified from the literature review and verified by the domain experts which can enable the wider acceptance of digital health-care services. The identified factors were then modeled with the help of the total interpretive structural modeling (TISM) approach and fuzzy Matrices d’Impacts Croises Multiplication Appliquée à un Classement (MICMAC) and a meaningful contextual relationship were developed for the factors.

This study reflects that the trust of patients is required for the acceptance of digital health care. Quality of patient care and affordability cum accessibility of online services will define mass engagement. Hospital staff resilience, hospital care service capacity, strategic partnerships and collaborations supported by technology and regulatory structure are the major factors defining the enabling ecosystem.

This study has its uniqueness in the way the TISM approach and fuzzy MICMAC are used for modeling the enabling factors toward growth and acceptance of digital health-care services in the days to come in developing nations. The focus of this study can be considered as relevant for the study interested in investigating the role of cognitive dimensions in influencing actors’ behaviors and decisions.

The aim of the paper is to provide an understanding of the various factors that enable intrapreneurship in established firms. The paper reports on a case study of intrapreneurship in a large knowledge‐intensive industrial firm.

Based on the existing literature, it is suggested that the use of different factors can either enable or inhibit intrapreneurship and five enabling factors that are identified. Based on interviews, on‐site observations and documents and reports the five factors with a potential influence on intrapreneurship are examined and alternative factors considered.

The five enabling factors that are identified in the literature are not sufficient to enable intrapreneurship in knowledge‐intensive companies, and it is concluded that three additional factors enabling intrapreneurship in established firms should also be taken into account.

The knowledge of what makes factors either enablers or inhibitors are incomplete and to enhance the intrapreneurial ability of an organisation, managers must learn which factors to use in different situations.

Only very few papers have studied intrapreneurship in specific organisations. This paper contributes with a synthesis of the literature in the area and with a suggestion of a model that is used in the empirical analysis and augmented based on that. The paper furthermore contributes to the body of literature on the factors enabling intrapreneurship in general.