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Integrating transaction costs economics and task-technology fit theory, this study distinguishes two categories of social media–enabled interactions, namely task-related interactions and tie-related interactions, and explores the match between these two and firms' use of contracts in achieving safeguarding and coordinating purposes in interfirm governance.

Two studies were conducted to test the hypotheses. In Study 1, this study collaborated with a professional market research firm and collected responses from Chinese manufacturing firms in a survey. In Study 2, this study designed a scenario-based experiment and collected 239 participants from the Credamo platform.

This study categorized social media–enabled interactions into task-related interactions and tie-related interactions and conducted two studies to reveal that the safeguarding purpose of contract specificity is amplified by tie-related interactions, whereas the coordinating purpose of contract specificity is strengthened by task-related interactions.

This study assumes that firms permit and encourage the use of social media. However, some firms might prohibit the use of social media due to risk issues, or their partners may be prohibited from using social media.

Given that social media–enabled interactions have joint effects with contracts in achieving safeguarding and coordinating purposes, a firm's employees should match their goals with an appropriate type of social media–enabled interactions.

This study enriches the interfirm governance literature by uncovering the roles of these two types of interactions in matching contract specificity to achieve safeguarding and coordinating purposes, which provides actionable insights for managers in governing interfirm relationships.

Prosumers’ creative performance in a co-creation activity is greatly affected by the disclosure of activity information. Extant research has separately examined the impact of participant numbers and the impact of platform transparency, but there is a lack of research on the interaction between the two. However, testing the joint effect of the two sources of information can provide a more comprehensive understanding of individuals’ co-creation behaviour. This paper aims to fill the gap and further reveal the psychological mechanism behind the behaviour.

Three experimental studies were conducted to test the hypotheses.

The results show that a large number of participants will stimulate and inhibit creative performances on untransparent and transparent co-creation platforms, respectively. Moreover, this study found that the effect of the number of participants on creative performance is mediated by arousal on untransparent platforms and by the constraint on idea expression on transparent platforms.

This study advances knowledge of how the number of participants in an activity and platform transparency jointly influence prosumers’ creative performance and the corresponding mechanism. However, the main limitation of the study is that the findings are from scenario-based experiments.

This study provides a more comprehensive understanding of prosumers’ creative performance under the influence of the number of activity participants and platform transparency. The findings can help co-creation sponsoring companies and co-creation platforms improve activity performance by designing better information disclosure strategies, thereby enhancing platform value.

The findings enrich the literature on platform ecosystem and co-creation by integrating previously separate knowledge on the effects of participant numbers and platform transparency. In addition, the findings deepen the overall understanding of prosumers’ behaviour.

Ever since China’s implementation of the open-door policy in 1978, there has been a remarkable transformation in the nation’s economic landscape. Undesirably, amidst the rapid urban development, the importance of prioritising and nurturing rural development in China has not received unwavering attention. Nevertheless, the Chinese government has embarked on many ventures to bridge the disparities existing amidst urban and rural areas, revitalise the rural economy, and enhance overall productivity. This paper enunciates the role of the Chinese government in prospering rural areas by implementing policies that align with the Sustainable Developmental Goals (SDGs)- 1, 2 and 12.

This study employed a comprehensive methodology encompassing both primary and secondary research techniques to procure valuable insights and reviewed various Chinese government policies pertaining to rural revitalisation.

The study results demonstrate that throughout the policy implementation, China has contributed to the livelihoods of the rural communities and achieved SDG-1 (ending poverty) by 2030, ten years ahead of Agenda (2030). The country has also substantially improved its rural agricultural system by integrating modern science and technology and aiming to achieve SDG-2 (ensure food security) with the alignment of SDG-12 (sustainable production and consumption). The findings of this research indicate that despite some limitations in China’s rural revitalisation strategy, overall progress is seen in many aspects, particularly in achieving SDG-1, 2, and 12.

The Chinese government has made significant efforts to promote ecological, social, and economic development in rural areas through various national initiatives such as the “New Countryside” and “Rural Revitalisation” strategies. These initiatives have successfully alleviated poverty, increased food production, and ensured sustainable production and consumption. The discoveries presented within this article possess immense value, as they provide profound insights for policymakers, rural planners, and researchers who are fervently searching for viable solutions to tackle the intricate interplay between rural development and sustainability. Therefore, this study has the potential to greatly benefit policymakers from various nations, as they can adopt China’s rural revitalisation model as a means to successfully achieve SDGs 1, 2, and 12.

This study found that despite numerous initiatives to improve rural landscapes, China’s rural revitalisation approach still poses concerns as local governments are likely to focus on increasing income capacity rather than concentrating on establishing environmental governance.

The purpose of this paper is to perform a systematic review on the application of different multi-criteria decision-making (MCDM) methods in solving the site selection problem across multiple problem domains. The domains are energy generation, logistics, public services and retail facilities. This study aims to answer the following research questions: Which evaluating criteria were used for each site selection problem domain? Which MCDM methods were frequently applied in a particular site selection problem domain?

The goals of the systematic review were to identify the evaluating criteria as well as the MCDM method used for each problem domain. A total of 81 recent papers (2014–2018) including 32 papers published in conference proceedings and 49 journal articles from various databases including IEEE Xplore, PubMed, Springer, Taylor and Francis as well as ScienceDirect were evaluated.

This study has shown that site selection for energy generation facilities is the most active site selection problem domain, and that the analytic hierarchy process (AHP) method is the most commonly used MCDM method for site selection. For energy generation, the criteria which were most used were geographical elements, land use, cost and environmental impact. For logistics, frequently used criteria were geographical elements and distance, while for public services population density, supply and demand, geographical layout and cost were the criteria most used. Criteria useful for retail facilities were the size (space) of the store, demographics of the site, the site characteristics and rental of the site (cost).

This study is limited to reviewing papers which were published in the years 2014–2018 only, and only covers the domains of energy generation, logistics, public services and retail facilities.

MCDM is a viable tool to be used for solving the site selection problem across the domains of energy generation, logistics, public services and retail facilities. The usage of MCDM continues to be relevant as a complement to machine learning, even as data originating from embedded IoT devices in built environments becomes increasingly Big Data like.

Previous systematic review studies for MDCM and built environments have either focused on studying the MCDM techniques itself, or have focused on the application of MCDM for site selection in a single problem domain. In this study, a critical review of MCDM techniques used for site selection as well as the critical criteria used during the MCDM process of site selection was performed on four different built environment domains.