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This study aims to examine the role of performance management systems (PMSs) in enabling logic blending to manage institutional complexity and tensions arising from coexisting institutional logics.

This research uses a case study of an Australian non-government organisation (NGO) operating in an institutional field dominated by the state government, in which policy reform jolted the balance between institutional logics. Data was collected through semi-structured interviews, archival documents and observations.

We find the policy reform required the NGO to transform from a wholly care focus to accommodate a more balanced approach with a focus on care coupled with efficiency, outcome delivery and performance measurement. The NGO responded by revising its purpose, strategy and operational model and by seeking to address the imperatives of two dominant and often competing care and managerial logics. We find this was achieved through logic blending, in which PMSs played a pivotal role, with the formalisation and collaboration processes mobilising different elements of PMSs, mobilising some elements differently or not mobilising some elements at all.

This study highlights the central role of PMSs in managing tensions between and the complexity arising from coexisting institutional logics through logic blending, a form of enduring compromise. This study extends the accounting logics and performance management literature by developing the understanding of what constitutes logic blending and how it is distinct from other forms of compromise.

This study presents evidence of the role of performance measurement and management (PMM) in sustainable supply chain governance. This study tests a model hypothesizing whether it is the PMM itself or the mediating effect of supply chain governance that is essential for both business and sustainability performance.

This study builds on a survey of 274 SMEs in Finland.

The findings indicate that PMM does not directly contribute to SMEs’ business or sustainability performance. Supply chain governance mediates the relationship between PMM and business performance. Business performance also enhances sustainability.

These findings can guide managers in managing company relationships with customers and suppliers. The mediating role of supply chain governance highlights the potential of PMM to enhance performance. Without supply chain governance, the PMM, while efficient in traditional business practices, may lose its effectiveness because of the pressure to advance sustainability values within firm operations.

The role of PMM in enhancing supply chain sustainability is frequently overlooked in the existing research, necessitating an empirical evaluation of PMM’s impact on supply chain sustainability. This study addresses this gap by focusing on the SME context, where the pressure to adopt sustainable practices is increasing, yet SMEs employ PMM less frequently than larger firms.

Megaproject performance measurement (MPM) has received great attention in the project management community, but it primarily focused on the design of performance measures or frameworks. Yet, whether MPM utilization can improve megaproject performance and how project actors use MPM to improve megaproject performance is less well understood. This study aims to investigate whether and how the use of MPM can contribute to better megaproject performance.

Through the lens of the lever of control, this study conceptualizes MPM utilization as diagnostic use and interactive use. A holistic research model and related hypotheses integrating MPM use, project complexity and megaproject performance were established. The model was validated using a partial square-structural equation modeling method.

Based on 214-megaproject data collected through a questionnaire survey in China, the results show positive effects of diagnostic use and interactive use on megaproject performance. Both, however, have substitutional interaction effects. The moderating results suggest that the higher project complexity weakens the positive effects of MPM utilization on megaproject performance.

This study advances megaprojects performance measurement and management literature by validating the value of MPM utilization on performance. It also presents practical implications for project managers to improve performance by appropriate MPM utilization.

The study is undertaken to examine the technical efficiency (TE) of small pond fishery using the stochastic frontier model in the northern region of the state of West Bengal in India. The 65 samples were collected through field surveys in Uttar Dinajpur and Dakshin Dinajpur districts for three months (i.e. from May to June) in the year 2022. The stochastic frontier model estimation indicates that boosting investment in labour, organic fertilizers, fish fingerlings and land area has the potential to enhance returns in fish production. The findings demonstrate that TE spans between 83 and 100 per cent, averaging at 94 per cent. This suggests that, on average, fish farmers in the examined region are operating slightly below the highest achievable production level, falling short by approximately 6 per cent, which raises concerns about sustainability. The study recommends that the use of labour and organic fertilizers (i.e. cow dung) should be made available to transform traditional rearing practices into more productive scientific methods. Also, the land area should be extended and more fish fingerling should be used to increase the production of fish in the study area.

This chapter focuses on designing and constructing a history model. The authors explain why the historical perspective is essential and what we learn from it. The authors explain the history model in relation to common everyday forms, including project and historical timelines, process timelines, and event and life cycle timelines. The formats of timelines are also referenced. The common reference points are useful for designing and presenting the history model to Knowledge Book users. A step-by-step methodology for constructing a history model is included.

This study aims to explore emotions, psychological safety and organizational support in the workplace when transitioning from office to home-based work. By providing detailed descriptions of emotional reactions to this change, the study examines how organizational support might influence employees’ sense of psychological safety.

To analyze the data, a qualitative data analysis was applied through using thematic coding. Data were collected by conducting structured telephone interviews with participants. These interviews included open-ended questions. Employees from both public and private companies in the MENA region were invited to take part in the study. The participants included full-time, part-time and contractual employees from different industries. In total, 112 participants were included in the final sample.

The results indicate that when workplaces change, emotions are triggered by comparing oneself to others and having the necessary socioemotional resources. Employees’ emotional reactions are influenced by how they perceive organizational support, which affects their psychological safety. Specifically, comparing to colleagues in lower positions activates emotions like pride, empathy and support (downward social comparison emotion), while comparing to top management decisions elicits emotions like anxiety, stress, unfairness, inferiority and vulnerability (upward social comparison emotion).

The findings of this research shed light on how emotions arise from social comparison when workplaces undergo changes as well as the different socioemotional resources present within groups. Not much research has focused on core and periphery groups in this context. This study helps fill that gap in our understanding.

Drawing on trait activation theory, this study examines the influence of positive affectivity on employment predictions (e.g. the probability of obtaining an interview and being hired) via intrinsic motivation and network building on LinkedIn.

Multisource field data were collected from student job seekers (n = 179) searching for an internship over two points with a six-month time separation between the first and second data collection.

Structural equation modeling (SEM) analyses revealed marginal support for the mediating roles of intrinsic motivation and network building in positive affectivity’s indirect effect on employment predictions about the probability of obtaining an interview and being hired.

This study extends research on job search networking/selection by demonstrating the sequential process through which job seekers’ positive affectivity influences employment predictions, emphasizing the intermediary roles of intrinsic motivation and network building on LinkedIn.

Job seekers, recruiters and career counselors should consider network building on LinkedIn as a relevant expression of positive affectivity.

We apply trait activation theory as an overarching framework to examine how an affective between-person difference is expressed via intrinsic motivation and network building and is, at the same time, perceived and valued by employers on LinkedIn.

This study is of great significance in revealing the interactive and coordinated relationship between tourism development and the ecological environment, improving the level of environmental governance in the process of tourism economic development and realising the dual-carbon goal and sustainable development of the tourism industry.

This paper performs slack-based measure (SBM)-data envelopment analysis (DEA) analysis, benchmark regression and threshold effect measurement on a sample of 277 cities in China from 2011 to 2019, to estimate the impact of the digital economy on tourism eco-efficiency and to identify the moderating role of environmental regulation.

China’s tourism eco-efficiency shows a spatio-temporal characteristic of steady growth amid fluctuations. The digital economy has a positive facilitating effect on tourism eco-efficiency, which is non-linear with a single threshold effect (0.631), and when the level of the digital economy exceeds the threshold value, its facilitating effect increases from 0.696 to 0.927. Environmental regulation does not play the role of “the icing on the cake” during the digital economy’s impact on tourism eco-efficiency.

This study for the first time includes the digital economy, eco-efficiency and environmental regulation in the research perspective, and analysed the mechanism of action between the three, expanding the depth of research on the digital economy and environmental regulation in the field of tourism. Meanwhile, based on the development needs of policy specialisation and industrial refinement, this study has strong practical significance when conducted at the city level.