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Modular integrated construction (MiC) projects are co-created by a network of organizations and players providing different roles, information and activities throughout the supply chains. Hence, a successful delivery of MiC projects can hardly be decoupled from effective supply chain management (SCM). This study investigated the critical success determinants of effective SCM in MiC projects.

Comprehensive literature research and expert review identified 20 candidate success determinants, which formed the basis for a structured questionnaire survey of experts in eighteen countries. The study computed the mean scores, normalized mean values and significance indices of success determinants for SCM in MiC projects.

The analysis revealed that design for SCM, effective communication and information sharing, organizational readiness and familiarity with MiC, seamless integration and coordination of supply chain, early involvement of critical supply chain stakeholders and extensive supply chain planning are the top five critical success determinants of effective SCM in MiC projects. The 20 success determinants are categorized into five: project strategy, bespoke competencies, process management, stakeholder management and risk management.

The study has some limitations. The smaller sample size could affect the generalizability of the results. The generalized analysis of the success determinants overlooked their sensitivities to specific contexts, industry climates and project types.

The study established a novel set of critical success determinants for SCM in MiC projects that have not been explicitly discussed in the MiC success literature and described their hypothetical dynamic linkages. It contributes to a better understanding of how best to manage the MiC project supply chain effectively.

The digital transformation under Industry 4.0 is complex and resource-intensive, making a strategic digitalization guideline vital to small and medium-sized enterprises' success in the Industry 4.0 transition. The present study aims to provide manufacturing small and medium-sized enterprises (SMEs) with a guideline for digital transformation success under Industry 4.0.

The study first performed a content-centric literature review to identify digital transformation success determinants. The study further implemented interpretive structural modeling to extract the order at which the success determinants should be present to facilitate the SMEs’ digital transformation success optimally. The interpretive model and interpretive logic knowledge base matrix were also used for developing the digital transformation guideline.

Eleven success determinants are vital to SMEs’ digital transformation efforts. For example, results revealed that external support for digitalization is the first step in ensuring digital transformation success among SMEs, while operations technology readiness is the most inaccessible success determinant.

The study highlights the degree of importance of the 11 success determinants identified, which magnifies each determinant's strategic priority based on its driving power and dependence power. Theorizing the dependent variable of “digital transformation success” and quantitatively measuring the extent to which each success determinant contributes to explaining “digital transformation success” offers an exciting opportunity for future research.

Digital transformation success phenomenon within the Industry 4.0 context is significantly different from the digitalization success concept within the traditional literature. The digital transformation under Industry 4.0 is immensely resource-intensive and complex. Smaller manufacturers must have specific capabilities such as change management and digitalization strategic planning capability to reach a certain degree of information, digital, operations and cyber maturity.

The digital transformation success guide developed in the study describes each success determinants' functionality in relation to other determinants and explains how they might contribute to the digital transformation success within the manufacturing sector. This guide enables smaller manufacturers to better understand the concept of manufacturing digital transformation under Industry 4.0 and devise robust strategies to steer their digital transformation process effectively.

The authors conduct a structured analysis of the literature on the determinants of economic and financial franchise performance and develop an integrative framework that unifies the literature from franchisor as well as franchisee perspectives.

53 relevant research articles on economic and financial franchise success published between 1976 and 2020 were identified. After providing an overview of the empirical methods and theoretical perspectives found in the literature, an original classification system of franchise success determinants was developed.

More than 50 different variables impacting economic or financial franchise success were identified and grouped into ten distinct categories. The most impactful categories are the franchise relationship, franchisee characteristics and capabilities, franchisor variables and the franchise environment. The study’s integrative framework illustrates not only the impact of these factors on franchise success, but also reveals which areas require more attention.

As the study focused on understanding the determinants of franchise success, any measures related to franchise failure were excluded. Also, the role of venture capital and stock market listing as growth strategies in the franchise sector were excluded.

The study’s framework shows how the management of franchise success is complex and that franchise relationship, franchisee and franchisor variables as well as the franchise context need to be taken into account. It illustrates that there is a hierarchy with which these determinants should be prioritized.

The article proposes the first systematic review of the literature on the determinants of economic and financial franchise success. The contribution offers both, researchers and practitioners, new and useful insights for future knowledge development in the field.

The purpose of this paper is to examine ABC success determinants in mature ABC sites.

The study surveys 65 managers of service and manufacturing organizations using ABC.

The stepwise regression results indicate that top management support is the key determinant of ABC success in mature ABC sites.

This research shows that top management support continues to be critical to ongoing ABC success. Past research has shown that top management support is critical in the early stages of ABC adoption and if withdrawn is a major cause of ABC implementation failure. Despite the technical benefits of ABC adoption the extent of change, the resource commitment and the management of conflict and power means that careful consideration of the determinants of success is crucial. Many researchers have examined this at initial implementation or have confounded their results by not distinguishing the stage of adoption. Very few have researched beyond the initial implementation to examine what factors continue to ensure ABC success once fully integrated. Other determinants examined were resource adequacy, education, performance improvement and reward link, and competition intensity.

Practically any ABC adoption needs to secure top management support from inception through to routinisation and integration.

The novelty of this study is in the way ABC success is measured and that the sites examined are only mature adoption sites. By examining only “mature” ABC sites the differences in the stages of implementation are not confounded in the results.

The purpose of this study is to contribute to the existing knowledge about the process of achieving Lean Manufacturing (LM) success.

This study uses interpretive structural modeling and captures the opinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map the interrelationships among potential determinants of LM success. This study further uses the data from a survey of 122 leading automobile part manufacturers by performing structural equation modeling to empirically test the research model proposed.

Management support and commitment, financial resources availability, information technology competence for LM, human resources management, production process simplicity, supportive culture and supply chain-wide integration are the key determinants that directly or indirectly determine the level of achievement of LM success.

The determinants of LM success as experienced by Asian automobile manufacturers might be different from determinants of LM success as experienced by Western automobile manufacturers. An interesting direction for future research would be to capture the experts’ inputs from Western automobile manufacturers to complement the findings of this study.

The practical contribution of this study lays in the development of linkages among various LM success determinants. Utility of the proposed interpretive structural modeling and structural equation modeling methodologies imposing order, direction and significance of the relationships among elements of LM success assumes considerable value to the decision-makers and LM practitioners.

Building on opinions of a group of LM experts and a case study of leading auto part manufacturers, the present study strives to model the success of LM, a topic that has received little attention to date.

Compares and contrasts the Australian and international literature which has examined the determinants of export performance with a view to developing a model which will assist in improving what is generally considered to be low levels of achievement by Australian exporters. Based on a subjective evaluation of the international literature classifies export performance determinants into four categories of determinants ‐ tangible (e.g. product, technology, distribution), attitudinal, skill and knowledge. Combines these determinants into a simple explanatory model process for the Australian literature. Concludes, after comparison of the two literatures that such differences as exist are a matter of degree rather than kind. Lack of prior experience and a poor perception of the potential benefits appear to inhibit Australian involvement and are reflected in low confidence levels. Modifies the original model to address these issues, giving greater emphasis to a long‐term perspective and the attitudinal and skill based factors. Suggests that greater familiarity with the extant body of knowledge dealing with export performance determinants is needed to achieve the necessary attitudinal change and commitment to exporting which underpins success in domestic markets.

Social entrepreneurship is gradually becoming a potent driving force for economic and social development in developing countries as a result of governance deficits. The purpose of this study is to examine the determinant factors of successful social entrepreneurship in the emerging circular economy of Lebanon. The objective extends to exploring the mediating role of non-governmental organizations (NGOs) in the success of social entrepreneurship in Lebanon.

Using a cross-sectional survey design, the authors collected primary data from 389 social entrepreneurs through questionnaires in selected locations in Lebanon. The data collected were analyzed using descriptive and inferential statistics. The hypotheses were tested using linear regression and structural equation modeling (SEM) for predicting the impact of independent variable on the dependent variable. The validity, progressive and various models fits were tested using root mean square of approximation, root mean square of residuals, standard root mean square residuals, incremental fit index, fitness of the extracted and non-normal fit index.

The SEM estimations reveal that three main factors determine the success of social entrepreneurs in Lebanon, namely, environmental factors, psychological factors and prior experience. Moreover, the results reveal that support of NGOs positively moderates the relationships between the success of social entrepreneurship and two different variables (psychological factors and environmental factors), but failed to moderate the relationships between success of social entrepreneurship and four variables (experience, education, leadership and founding team composition).

The study contributes to the entrepreneurship and circular economy literature by explicating empirically the determinant factors of successful social entrepreneurship in Lebanon’s emerging circular economy. It also provides a fact-based social awareness on the role of local and international NGOs in supporting the social entrepreneurs in driving the idea of a circular economy. The study also validates multiple entrepreneurship theories.

This empirical study examines the influence of environmental uncertainty on industrial product innovation. Addresses a perceived shortcoming in the new product development literature and explores direct and moderating effects of environmental uncertainty on the development process, project organization, and on new product success. Finds that several external market and technology factors do impact new product success directly. Further, finds that several market and technological uncertainties moderate the relationship between development process, project organization, and new product success. Consequently, innovating companies benefit by adapting their development approaches to different environmental conditions and to varying degrees of uncertainty. The results of 82 product development projects indicate, among others, that under conditions of high market and technology unpredictability process compression may increase time efficiency and product profitability.

This paper is designed with the aim to enlarge our understanding of a new form of women’s entrepreneurship in an emerging market, which is Tunisia. By exploring the role of nowadays’ “influencer-mompreneurs” on Instagram, our research provides a springboard to holistically investigate an up-to-date facet of female entrepreneurship in the digital era and to identify the determinants of its success.

This study took place in Tunisia and examined a sample of 20 female followers of three successful influencer-mompreneurs. A qualitative exploratory study was conducted through semistructured interviews. To analyze the collected data, the authors used thematic analysis, through which the determinants of influencer-mompreneurs’ success on Instagram bearing on Tunisian followers’ perspectives and previous literature were identified.

The results suggest that the key determinants of influencer-mompreneurs’ success from their followers’ perspectives depend on their personal traits and their shared content. This is consistent with previous theories and models. In particular, source credibility theory and Ducoffe’s model of advertisement value, which to our knowledge, has not yet been wholly served with regard to influencer marketing research. Paradoxically, the findings reveal that “sharenting” details of their private lives as well as those of their children is also a determinant of influencer-mompreneurs’ success.

Research into influencer-mompreneurs’ success with presence of their children on Instagram can help to provide valuable insights because existing literature into the subject is ambiguous and requires further research to clarify this research gap. Furthermore, by broadening the view of a new form of women entrepreneurship in relation to mother-influencer marketing, this study will inspire future research to dig deeper into creative women owned businesses and to support such emerging economies in the African context.

Observes that in response to the growing global competition, many manufacturing companies are in the process of adopting advanced manufacturing technologies (AMT) to improve their business operations. Notes that, despite the increasing interest in AMT, few empirical studies have been conducted to determine key success implementation factors. Presents the results of an empirical study which surveyed manufacturing companies in the USA to determine the critical success factors in the implementation of AMT. Uses tangible and intangible benefits as indicators of AMT implementation success measures. Classifies the determinants of AMT implementation success under four broad categories: the triple “C” factors (communication, commitment and co‐ordination), the housekeeping factors (action plan, effective team, vendor support, cost justification, functions integration and effective facilitator), the self‐interest factors (employee moral, satisfaction, belief in AMT and appropriate reward), and the literacy factors (understanding of firm’s business, training clarity of goals/objectives of AMT). Reveals from analysis of the responses that about 70 per cent of the variances in the success measures were explained by those determinants of AMT identified in the study.