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The paper aims to explore the role of union strategic influence on the adoption of High Performance Work Systems (HPWS) in organisations and examines how the effects of job security and then in turn the industrial relations climate, mediate this relationship in a serial manner.

The research analyses an original quantitative survey of union negotiators and representatives in 382 workplaces in England. The analysis employs structural equation modelling techniques to examine the relationships between union influence, job security, industrial relations climate and HPWS.

Union strategic influence has a positive effect on the take up of HPWS in unionised workplaces. Job security and the industrial relations climate demonstrate a serial mediation effect between union strategic influence and the take up of HPWS: union strategic influence has a positive effect on job security, which in turn positively impacts the industrial relations climate, thereby increasing the likelihood of the adoption of HPWS. The findings for the industrial relations climate are particularly strong.

Findings suggest that organisations will benefit from focussing on the development of positive industrial relations, where unions have genuine strategic influence, because this maximises the likelihood that HPWS can be adopted and sustained.

The paper provides a novel focus on the take up of HPWS within unionised workplaces. It focusses on the role of union strategic influence and the mediating effects of job security and the industrial relations climate, which are contextual factors that have been underexplored in the HPWS literature to date.

Scholars and practitioners alike are paying attention to entrepreneurial orientation (EO) as an antecedent of the financial performance of SMEs. Other factors foster and improve SMEs' financial performance. This paper aims to shed the light on other two different strategic orientations that may help enhance SMEs' financial performance in addition to EO, namely; market orientation (MO) and brand orientation (BO).

The three different important strategic orientations are explored through two different studies. The first study was conducted to determine the different effects of the three orientations on SMEs' financial performance. Data were collected using a questionnaire among a convenient sample (131) of business owners/managers, and next PLS-SEM was used for data analysis. The financial performance of firms in the second study is hypothesized to be an outcome of a combination of different strategic orientations; therefore, the fsQCA method is applied to explore the causal recipes of those orientations.

The paper concluded that the three different strategic orientations are collectively, of paramount importance to strategic managers of SMEs.

The brand, market and EOs have been discussed discretely in previous studies and this study attempted to provide managers/owners of SMEs with a holistic view of the three different orientations and the amalgamation among them to be beneficial for better financial performance.

Gossip spreads like wildfire, damaging relationships, decaying trust and creating a negative work environment. This study aims to investigate the relationship between negative workplace gossip (NWG) and quiet quitting (QQ), while considering the mediating effects of workplace stress and emotional exhaustion (EE).

Drawing upon the conservation of resource theory, the study aimed to comprehend this association in the context of 267 employees from diverse sectors in India, including health care, IT, banking and education. Through a three-wave time lagged survey design, using partial least squares structural equation modeling, significant findings were uncovered.

The results revealed a positive link between NWG and QQ. There was also a positive correlation between NWG and workplace stress. In addition, workplace stress and EE were found to mediate the relationship between NWG and QQ.

The findings have implications for both theory and practice. Organizations should consider implementing strategies to mitigate the prevalence of negative gossip and foster a healthier work environment, promoting employee well-being and retention.

The study reveals the “black box” between NWG and QQ, adding to the body of knowledge on the novel concept of QQ. Second, the study expands the literature on NWG, by examining impact path of how it leads to stress and EE, leading to QQ.

This study aims to investigate the relationship between top manager tenure and the sophistication level of management accounting system (MAS) in extant literature.

Cumulating evidence from 31 studies (N = 12,739), this study meta-analytically examines the central question of whether top managers' tenure is significantly associated with MAS sophistication after correcting individual studies for statistical artifacts. The study also assesses the strength of this association bniy exploring the influence of several moderating factors.

The findings show that long-tenured top managers are not significantly related to MAS sophistication. However, the moderator analtgcqyses indicate that the relationship between top manager tenure and MAS sophistication is moderated by tenure measurement type, firm sector and size. The study provides evidence for the significant moderation of tenure measurement type (i.e. position tenure). The results also argue that top manager tenure matters for MAS sophistication in small- and medium-sized enterprises (SMEs) and firms in the private sector.

The meta-analysis summarizes existing studies quantitatively to expand prior narrative reviews by providing definitive evidence of the overall effect of top manager tenure on MAS sophistication.

This paper models the deterioration process of a multi-component system. Each deterioration process is modelled by the Wiener process. The purposes of this paper are to address these issues and consider the cost process based on the multi-component system.

Condition-based Maintenance is a method for reducing the probability of system failures as well as the operating cost. Nowadays, a system is composed of multiple components. If the deteriorating process of each component can be monitored and then modelled by a stochastic process, the deteriorating process of the system is a stochastic process. The cost of repairing failures of the components in the system forms a stochastic process as well and is known as a cost process.

When a linear combination of the processes, which can be the deterioration processes and the cost processes, exceeds a pre-specified threshold, a replacement policy will be carried out to preventively maintain the system.

Under this setting, this paper investigates maintenance policies based on the deterioration process and the cost process. Numerical examples are given to illustrate the optimisation process.

Due to the importance of quality to customers, this study considers criteria of quality and profit and optimizes both in a multi-echelon cold chain of perishable agricultural products whose quality immediately begins to deteriorate after harvest. The two objectives of the proposed cold chain are to maximize profit and quality. Since postharvest quality loss in the supply chain depends on various decisions and factors, in addition to strategic decisions, the authors consider the temperature setting in refrigerated facilities and transportation vehicles due to the unfixed shelf life of the products which is related to the temperature found by Arrhenius formula.

The authors use bi-objective mixed-integer nonlinear programming to design a four-echelon supply chain. The authors integrate the supply chain echelons to detect the sources and factors of quality loss. The four echelons include supply, processing, storage and customer. The decisions, including facility location, assigning nodes of each echelon to corresponding nodes from the adjacent echelon, allocation of vehicles to transport the products from farms to wholesalers, processing selection, and temperature setting in refrigerated facilities, are made in an integrated way. Model verification and validation in the case study are done based on three perishable herbal plants.

The model obtains a 29% profit against a total cost of 71 and 93% of original quality of the crops is maintained, indicating a 7% quality loss. The final quality of 93% is the result of making a US$6m investment in the supply chain, including the procurement of high-quality raw materials; facility establishment; high-speed, high-capacity vehicles; location assignment; processing selection and refrigeration equipment in the storage and transportation systems, helping to maximize both the final quality of the products and the total profit.

The proposed supply chain model should help managers with modeling decisions, especially when it comes to cold chains for agricultural products. The model yields these results – optimal location-allocation decisions for the facilities to minimize distances between the network nodes, which save time and maintain the majority of the products’ original quality; choosing the most appropriate processing method, which reduces the perishability rate; providing high-capacity, high-speed vehicles in the logistics system, which minimizes transportation costs and maximizes the quality; and setting the right temperature in the refrigerated facilities, which mitigates the postharvest decay reaction rate of the products.

Comparison of the results of the present research with those of the traditional chain (obtained through experts) shows that since the designed chain increases the profit as well as the final quality, it has benefits for the main chain stakeholders, which are customers of agricultural products. This study model is expected to have a positive impact on the environment by placing strong emphasis on quality and preventing excessive waste generation and air pollution by imposing a financial penalty on extra demand production.

Since profit and quality of the final product are two important factors in all cultures and communities, the proposed supply chain model can be used in any food industry around the world. Applying the proposed model induces growth in local industries and promotes the culture of prioritizing quality in societies.

To the best of the authors’ knowledge, this is the first research on a bi-objective four-echelon (supply, processing, storage and customer) postharvest supply chain for agricultural products including that integrates transportation logistics and considers the deterioration rate of products as a time-dependent variable at different levels of decision-making.

Image segmentation is one of the most essential tasks in image processing applications. It is a valuable tool in many oriented applications such as health-care systems, pattern recognition, traffic control, surveillance systems, etc. However, an accurate segmentation is a critical task since finding a correct model that fits a different type of image processing application is a persistent problem. This paper develops a novel segmentation model that aims to be a unified model using any kind of image processing application. The proposed precise and parallel segmentation model (PPSM) combines the three benchmark distribution thresholding techniques to estimate an optimum threshold value that leads to optimum extraction of the segmented region: Gaussian, lognormal and gamma distributions. Moreover, a parallel boosting algorithm is proposed to improve the performance of the developed segmentation algorithm and minimize its computational cost. To evaluate the effectiveness of the proposed PPSM, different benchmark data sets for image segmentation are used such as Planet Hunters 2 (PH2), the International Skin Imaging Collaboration (ISIC), Microsoft Research in Cambridge (MSRC), the Berkley Segmentation Benchmark Data set (BSDS) and Common Objects in COntext (COCO). The obtained results indicate the efficacy of the proposed model in achieving high accuracy with significant processing time reduction compared to other segmentation models and using different types and fields of benchmarking data sets.

The proposed PPSM combines the three benchmark distribution thresholding techniques to estimate an optimum threshold value that leads to optimum extraction of the segmented region: Gaussian, lognormal and gamma distributions.

On the basis of the achieved results, it can be observed that the proposed PPSM–minimum cross-entropy thresholding (PPSM–MCET)-based segmentation model is a robust, accurate and highly consistent method with high-performance ability.

A novel hybrid segmentation model is constructed exploiting a combination of Gaussian, gamma and lognormal distributions using MCET. Moreover, and to provide an accurate and high-performance thresholding with minimum computational cost, the proposed PPSM uses a parallel processing method to minimize the computational effort in MCET computing. The proposed model might be used as a valuable tool in many oriented applications such as health-care systems, pattern recognition, traffic control, surveillance systems, etc.

Trust plays a crucial role in overcoming uncertainty and reducing risks. Uncovering the trust mechanism in the sharing economy may enable sharing platforms to design more effective marketing strategies. However, existing studies have inconsistent conclusions on the trust mechanism in the sharing economy. Therefore, this study aims to investigate the antecedents and consequences of different dimensions of trust (trust in platform and trust in peers) in the sharing economy.

First, we conducted a meta-analysis of 57 related articles. We tested 13 antecedents of trust in platform (e.g. economic benefits, enjoyment, and information quality) and eight antecedents of trust in peers (e.g. offline service quality and providers’ reputation), as well as their consequences. Then, we conducted subgroup analyses to test the moderating effects of economic development level (Developed vs Developing), gender (Female-dominant vs Male-dominant), platform type (Accommodation vs Transportation), role type (Obtainers vs Providers), and uncertainty avoidance (Strong vs Weak).

The results confirm that all antecedents and consequences significantly affect trust in platform or peers to varying degrees. Moreover, trust in platform greatly enhances trust in peers. Besides, the results of the moderating effect analyses demonstrate the variability of antecedents and consequences of trust under different subgroups.

This paper provides a clear and holistic view of the trust mechanism in the sharing economy from an object-based trust perspective. The findings may offer insights into trust-building in the sharing economy.

Previous research has explored the link between sustainability disclosure and reputation but produced contradictory results. This study aims to clarify the sustainability disclosure–reputation relationship through a quantitative analysis of the correlations between these variables reported in empirical research papers. The second objective was to determine how various moderators affect the sustainability disclosure–reputation link.

The meta-analysis was based on a systematic review of the literature covering empirical research on the corporate sustainability disclosure and reputation relationship. A total of 92 articles were meta-analyzed to compile their findings on four extrinsic moderators: company size, ownership, stock listing status and activity sector.

The findings confirm that a significant positive correlation exists between corporate sustainability disclosure and reputation. The moderator analysis also revealed that companies’ different characteristics can explain researchers’ divergent results.

The results have considerable practical relevance for organizational management. First, they can motivate managers to improve and disclose their company’s social and environmental impacts to strengthen their reputation, which in turn will help accelerate the achievement of the Sustainable Development Goals. Second, the findings can ensure organizations develop disclosure and reputation management strategies adapted for each firm’s size, ownership, stock listing status and activity sector.

The results have considerable practical relevance for organizational management. First, they can motivate managers to improve and disclose their company’s social and environmental impacts to strengthen their reputation, which in turn will help accelerate the achievement of the Sustainable Development Goals. Second, the findings can ensure organizations develop disclosure and reputation management strategies adapted for each firm’s size, ownership, stock listing status and activity sector.

To the best of the authors’ knowledge, this meta-analysis is the first to clarify the link between disclosure and reputation, which makes a unique contribution to the field of social and environmental accounting. A larger sample of primary research was collected, and key extrinsic moderators were examined to explain prior studies’ contradictory findings.

This article explores the implications of virtual social spaces for conceptualizing community engagement in the practice of architecture and design by critically analyzing multidisciplinary approaches to conceptualizing community namely space, place, and context to envision social spaces of virtual community engagement by architects and designers.

This conceptual article utilized narrative literature review as the primary method for conducting a transdisciplinary theoretical integration. First, the authors defined the metaverse as all manner of human-technological interaction. Second, the authors discussed theories of place from architecture, social geography, and human ecology and employed neoecological theory to describe the interactional processes inherent in research and practice with virtual communities. Finally, the authors documented specific types of virtual engagement strategies in architectural research and practice.

Virtual environments provide varied opportunities for effective collaborations among architects, designers, and community members. The primary strategies identified by the literature review of virtual community engagement were collaborative, augmented reality, and situated digital experiences. In addition, researchers have found that the most effective community engagement bridges interactions in the physical space and digitally mediated interactions.

The authors advocate for increased research towards understanding how the expanded availability of more complex technological tools, such as future versions of artificial intelligence (AI) software, may further layer the landscape of community engagement in ways that may be unpredictable and currently less understood. Additional research is also needed to address participants' perspectives in virtual community engagement and explore how the building of communities in the meta-context is felt, lived, and understood by those who act in them.

The availability of new technological tools and digital platforms challenges diverse professionals to expand their community-engaged practice into the metaverse. Although not every community has broadband Internet or software access, many physical locations whether community centers, libraries, schools, or one’s own home may serve as safe spaces for novel virtual engagement experiences by individuals and groups. Digital engagement can increase opportunities for involvement from persons who are home-bound, lack transportation or child-care to attend in-person community events, or may desire the anonymity afforded by virtual engagement.

Virtual environments can provide varied opportunities for effective collaboration among architects, designers, and community members by overcoming physical or nonphysical barriers to in-person engagement. For example, recent case studies of civic and community organizations have successfully integrated physical and virtual community engagement during the global COVID-19 pandemic by overcoming physical or nonphysical barriers to in-person engagement. Community development theorists have referred to such contexts as a “post-place community” in which individuals find solidarity through digital global networks.

This article theorizes virtual community engagement in the metaverse from a transdisciplinary perspective and coins the innovative concept of meta-contexts to describe a global “post-place” community. Integrating theories of place from architecture, social geography, and human ecology guides an original review of effective strategies for meta-contextual digital community engagement by architects and designers.