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This study aims to (1) validate the efficacy of contractual and relational governance in enhancing operational performance and (2) explore the influence of product complexity on the effectiveness of these governance mechanisms, thereby determining the optimal approach for varying levels of product complexity.

By utilizing a comprehensive theoretical framework encompassing transaction cost economics, social exchange theory and contingency theory, this research explores the intricate interplay between governance mechanisms, product complexity and operational performance, drawing insights from a dataset comprising 246 responses within Mainland China’s manufacturing sector. To rigorously test the proposed hypotheses, this study employed a hierarchical regression analysis.

The findings of this study are summarized as follows: (1) while both contractual governance and relational governance have a significant impact on operational performance, relational governance is found to be more effective than contractual governance in enhancing operational performance; and (2) the moderation effect of product complexity is evident, as it weakens the impact of contractual governance while simultaneously enhancing the positive influence of relational governance on operational performance.

The study uncovers a moderation effect of product complexity on the relationship between governance mechanisms and operational performance. This finding adds an original contribution to the literature by highlighting how product complexity can interact with governance strategies, providing practical insights for industries dealing with varying levels of product complexity.

The principal research objective entails examining the nexus between green supplier selection and green performance while scrutinizing the moderating role of governance mechanisms, specifically process control and outcome control, in shaping this association.

To assess our hypotheses, this study obtained data from Chinese manufacturing sectors and utilized regression analysis on a dataset consisting of 295 samples.

This study enriches the sustainable supply chain management literature by emphasizing the influence of green supplier selection on a firm’s green performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.

This study enriches the sustainable supply chain management literature by emphasizing the influence of supplier selection on a firm’s environmental performance and the moderating effects of outcome and process control, offering practical insights for industry professionals.

This study aims to predict customer churn in resort hotels by calculating the churn probability of repeat customers for future stays in the same hotel brand.

Based on the recency, frequency, monetary (RFM) paradigm, random forest and logistic regression supervised machine learning algorithms were used to predict churn behavior. The model with superior performance was used to detect potential churners and generate a priority matrix.

The random forest algorithm showed a higher prediction performance with an 80% accuracy rate. The most important variables were RFM-based, followed by hotel sector-specific variables such as market, season, accompaniers and booker. Some managerial strategies were proposed to retain future churners, clustered as “hesitant,” “economy,” “alternative seeker,” and “opportunity chaser” customer groups.

This study contributes to the theoretical understanding of customer behavior in the hospitality industry and provides valuable insight for hotel practitioners by demonstrating the methods that facilitate the identification of potential churners and their characteristics.

Most customer retention studies in hospitality either concentrate on the antecedents of retention or customers’ revisit intentions using traditional methods. Taking a unique place within the literature, this study conducts churn prediction analysis for repeat hotel customers by opening a new area for inquiry in hospitality studies.

Social entrepreneurship has been recently viewed as an emancipatory process that promotes freedom and autonomy for social entrepreneurs and those they serve. However, the mechanisms of how emancipation is enacted remain relatively underexplored. By using an integrative lens, this paper aims to explore the emancipation experiences of women social entrepreneurs and unpack the processes through which they extend their self-emancipation to facilitate the empowerment of others.

This study adopted a qualitative multiple-case study approach. Semistructured interviews were conducted with eight women social entrepreneurs from various industries in Hong Kong to understand and examine their experiences of “emancipation from” and “emancipation to” in social entrepreneurship.

This study identified a three-phase emancipatory journey of women social entrepreneurs. Specifically, the findings revealed that their emancipation experiences started with self-awareness of constraints in their surroundings, primarily due to stereotyped social norms and institutional barriers. This phase is followed by embracing social entrepreneurship as a coping strategy for navigating the perceived constraints and exploring new possibilities with increased agency. Ultimately, this transformation extends beyond their individual growth into broader social impacts as women social entrepreneurs use their newfound agency to effect meaningful social changes.

This study enriches the “entrepreneuring as emancipation” perspective by embracing an integrative lens that allows us to delve into the complex layers of emancipation experiences of women social entrepreneurs. Notably, this study differentiates various conceptions of emancipation, presenting a dual role of women social entrepreneurs as both the emancipated and the emancipator. By situating the study in Hong Kong, where women often face gendered expectations that shape their career choices and development, this study offers a nuanced and contextual understanding of the unique challenges and opportunities women social entrepreneurs encounter in their environment.

The purpose of this study is to provide a detailed demonstration of how artificial intelligence (AI) can be used to potentially generate valuable insights and recommendations regarding the role of accounting in addressing key sustainability-related issues.

The study offers a novel method for leveraging AI tools to augment traditional scoping study techniques. The method was used to show how the authors can produce recommendations for potentially enhancing organisational accountability pertaining to seasonal workers.

Through the use of AI and informed by the knowledge base that the authors created, the authors have developed prescriptions that have the potential to advance the interests of seasonal workers. In doing so, the authors have focussed on developing a useful and detailed guide to assist their colleagues to apply AI to various research questions.

This study demonstrates the ability of AI to assist researchers in efficiently finding solutions to social problems. By augmenting traditional scoping study techniques with AI tools, the authors present a framework to assist future research in such areas as accounting and accountability.

Previous studies have established to a great extent that regulatory frameworks and, in particular, procurement approaches – that are common in a particular context – have a major impact on the success of building information modelling (BIM) implementation in construction projects. Despite the close links between these two concepts, research on the effect of procurement approaches on BIM implementation is scarce. To address this gap, this paper aims to investigate the barriers that affect BIM implementation through the lens of procurement approaches.

A mixed-method approach was adopted using a questionnaire survey (n = 116) and interviews with key stakeholders (n = 12) in Jordan. The outcomes of the quantitative parts were augmented with findings from interviews.

It was revealed that the deployment of unfavourable construction procurement approaches represents a major hurdle towards BIM implementation. Though essential for enhancing BIM implementation, it is revealed that a fundamental change from the common design-bid-build (DBB) to more collaborative procurement approaches remains infeasible in view of the realities that govern the construction industry.

It was revealed the deployment of unfavourable construction procurement approaches represents a major hurdle towards BIM implementation. Though essential for enhancing BIM implementation, it is revealed that a fundamental change from the common DBB to more collaborative procurement approaches remains infeasible given the realities that govern the construction industry.

As the first of its kind, a set of recommendations for establishing supportive, workable procurement that does not deviate significantly from common procedures and practices is presented. Rather than advocating a shift to procurement approaches that are aligned with BIM, the findings offer novel insight into the necessity of developing a framework within the boundaries of the current and widely adopted procurement approaches to address the identified construction procurement issues and facilitate BIM implementation.

This study addresses the prevailing complexities and limitations in estimating and managing construction overhead costs (COCs) in the existing literature, with the purpose of enhancing the accuracy of cost performance indicators in construction project management.

An innovative approach is proposed, employing the activity-based costing (ABC) accounting method combined with building information modelling (BIM) to assign real overhead costs to project activities. This study, distinguished by its incorporation of a real case study, focuses on an administrative building with a four-story concrete structure. It establishes an automated method for evaluating project cost performance through the detailed analysis of earned value management (EVM) cost indicators derived from ABC results and BIM data.

The results show that the ABC integration improves the accuracy of cost performance indicators by over 9%, revealing the project's true cost index for the first time and demonstrating the substantial value of the approach in construction engineering and management.

The current study highlights a notable gap in the existing literature, addressing the challenges in onsite overhead cost estimation and offering a solution that incorporates the state-of-the-art techniques.

The proposed method has significant implications for project managers and practitioners, enabling better-informed decisions based on precise cost data, ultimately leading to enhanced project outcomes.

This research uniquely combines ABC and BIM, presenting a pioneering solution for the accurate estimation and management of COCs in construction projects, adding significant value to the current body of knowledge in this field.

Circular economy advocates innovations that upcycle wastes in the food supply chain to generate high added-value materials. These innovations are not only disruptive and green but also they are often initiated by startups, leading to the emergence of novel open-loop supply chains connecting actors in food and non-food sectors. While earlier research has highlighted the need to seek legitimacy for disruptive innovations to survive and grow, little is known about how these innovations occur and evolve across sectors. This paper aims to elaborate on this mechanism by exploring the function of the circular economy as a boundary object to facilitate legitimacy-seeking strategies.

An exploratory multiple-case research design is adopted and features food waste innovation projects with multi-tier supply chains consisting of a food producer, a startup and a buying firm. The study is investigated from the legitimacy and boundary object lenses.

The findings proposed a framework for the role of a boundary object in enabling legitimacy-seeking strategies for novel food waste innovations. First, the interpretative flexibility of the circular economy affords actors symbolic resources to conduct manipulation strategy to achieve cognitive legitimacy. Second, small-scale work arrangements enable creation strategy for the new supply chain to harness moral legitimacy. Finally, pragmatic legitimacy is granted via diffusion strategy enabled by scalable work arrangements.

This paper provides novel insights into the emergence of food waste innovation from a multi-tier supply chain perspective. It also highlights the key role of the boundary object in the legitimacy-seeking process.

Transaction cost economics sees a broad spectrum of governance structures spanned by two types of economic adaptation: autonomous and cooperative. Stakeholder theorists have drawn much inspiration from transaction cost economics but have not paid explicit attention to the centrality of the idea of adaptation in this literature. This study aims to address this gap.

The authors develop a novel conceptual framework applying the distinction between the two types of economic adaptation to stakeholder theory.

The authors argue that the idea of cooperative adaptation is particularly useful for describing the firm’s collaboration with primary stakeholders in the joint value creation process. In contrast, autonomous adaptation is more relevant for firms interacting with secondary stakeholders who are not directly engaged in joint value creation and may not have formal contractual relationships with the firm. Accordingly, cooperative adaptation can be seen as vital for resolving team production problems affecting joint value creation, whereas autonomous adaptation addresses how the firm maintains legitimacy within the larger stakeholder environment.

Similar to its significance for transaction cost economics, the distinction between the two types of adaptation equips stakeholder theory with a new systematic understanding of a potentially broad spectrum of firm–stakeholder collaboration forms.

This paper aims to explore how researchers in general, and field researchers in particular, might respond to systems of governance of the researchers' activity in ways that can support rather than distort the quality of the research.

We draw upon literature on serendipity to develop a framework for engaging with the positive and negative potentials of systems of governance. We ground our analysis in discussion of participation in the field comprising two parts: first, the examination of our own activities and second, the accounts of participation found in two career-autobiographical interviews with emeritus professors of management accounting from Japan.

We highlight the potential for a productive tension between two contrasting perspectives that researchers might take on governance of their activity. A contractual perspective sees the value of targets and detailed pre-planning. A reflexive perspective sees the value of exploring the unexpected and considering many alternatives. We offer a framework for considering serendipity and the conditions that facilitate serendipity to help researchers maintain a productive tension between these perspectives.

We build upon retrospective accounts of two successful individuals whose careers evolved in a specific context. The intention is not to set out what might be generally achievable in a research career, nor to propose specific lines of action or planning in relation to specific systems of governance, since these vary across countries and over time. Rather, the paper draws on these materials to illuminate the more general challenge of preparing for serendipity in a way that goes beyond simple opportunism.

We analyse how researchers' mindfulness of serendipity and the nature of contexts that facilitate serendipity can encourage a productive tension between contractual and reflexive perspectives on governance of academic activity.