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Drawing on the competing values framework, we look at the relationship of different organizational cultures (clan, hierarchy, adhocracy and market) with organizational performance. Furthermore, we examine the mediating role of knowledge sharing (attitude and behavior) in the organizational culture and organizational performance relationship.

We draw on survey data from 241 respondents working in the aerospace and aviation manufacturing and services firms in Pakistan (85), Turkey (65) and the United Arab Emirates (91). We employ structural equation modeling for data analysis.

Results suggest that knowledge sharing partially mediates the relationship between clan culture and organizational performance, and fully mediates the market culture and organizational performance relationship. Hierarchy culture is only positively related to organizational performance, while adhocracy culture shows no relationship with knowledge sharing, let alone organizational performance.

While knowledge sharing enhances organizational performance, there is limited knowledge with regard to the specific organizational culture(s) conducive to knowledge sharing and organizational performance. The study extends existing research on the topic and contributes by showing which cultures are more conducive to knowledge sharing and organizational performance and which are less.

The rapid development of the Internet has led to an increasingly significant role for E-commerce business. This study examines how the green supply chain (GSC) operates on the E-commerce online channel (resell mode and agency mode) and the traditional offline channel with information sharing under demand uncertainty.

This study builds a multistage game model that considers the manufacturer selling green products through different channels. On the traditional offline channel, the competing retailers decide whether to share demand signals. Regarding the resale mode of E-commerce online channel, just E-tailer 1 determines whether to share information and decides the retail price. In the agency mode, the manufacturer decides the retail price directly, and E-tailer 2 sets the platform rate.

This study reveals that information accuracy is conducive to information value and profits on both channels. Interestingly, the platform fee rate in agency mode will inhibit the effect of a positive demand signal. Information sharing will cause double marginal effects, and price competition behavior will mitigate such effects. Additionally, when the platform fee rate is low, the manufacturer will select the E-commerce online channel for operation, but the retailers' profit is the highest in the traditional channel.

This research explores the interplay between different channel structures and information sharing in a GSC, considering price competition and demand uncertainty. Besides, we also considered what behaviors and factors will amplify or transfer the effect of double marginalization.

The purpose of this study is to investigate the current research data management practices among researchers in Ghana and their impact on data reuse and collaborative research. The study aims to identify the methods used by researchers to store and preserve their research data, as well as to determine the extent to which researchers share their data with others.

The study uses a mixed-method research strategy to blend qualitative and quantitative data and is conducted at two public and two private universities in Ghana.

The study revealed that researchers in Ghana currently store and preserve their research data using personal devices, such as laptops, CDs and external flash drives, rather than keeping the data in university data repositories. They also do not share their research data with others, which negatively affects collaborative research. The current practice of storing data on personal devices and not sharing data with others hinders collaborative research. The study recommends that universities in Ghana revise their research policy documents to address RDM-related issues such as data storage, data preservation, data sharing and data reuse.

The study was conducted at two public and two private universities in Ghana, but the findings were placed in a wider context through appropriate references.

This study emphasises the need for sound research data management procedures to support research collaboration and data reuse in Ghana. Universities should provide incentives to academics to disclose their data to encourage data sharing and collaboration.

The government and management of universities should consciously invest in the needed technologies and equipment to implement research data management in their universities.

This study looks at how researchers in Ghana manage their research data and how it affects data reuse and collaborative research.

This study aims to develop a model for integration of information and communication technologies (ICTs) in resource sharing practices for enhanced service delivery in academic libraries in Southeast Nigeria. Seven objectives guided the study; ICT-based resource sharing practices in academic libraries in Southeast Nigeria; ICT infrastructure for resource sharing; ICT needs of librarians for resource sharing practices; stages of ICT integration in resource sharing; perception of librarians towards ICT-based resource sharing; challenges to integration of ICT in resource sharing practices; design a model for the integration of ICT into resource sharing; all in academic libraries in Southeast Nigeria.

The research design adopted for this study is the mixed research design containing the “descriptive survey” research design and the “research and development, R&D.” The population of the study is 164, comprising all of the librarians in federal universities in Southeast Nigeria. All of the librarians of the five federal universities will be involved in the study. Hence, there was no sampling. The instrument for data collection is a structured questionnaire.

The findings of the study revealed that 88.8% of the librarians use ICT to boost the volume of resources; while 74% of the librarians were positive in all responses pertaining to ICT-based resource sharing practices in the libraries. The study also revealed that ICT infrastructures in the library for resource sharing are highly available and applicable; while computers and internet networks are the most needed gadgets for the operations. Libraries in Southeast Nigeria are in the applying and transforming stages of ICT adoption at a 69.7% response rate; while the librarians have a strong belief and understanding that a lot can be achieved in resource sharing through ICT; and would recommend such. Poor electrification, inadequate funding and unavailability of some ICT technologies were equally identified as challenges. The study conclusively developed a resource sharing model, the Southeast Federal University Library Connect; accessible at https://southeastfeduniconnect.njh.com.ng

The research study is one of the few types of research that has developed a functional model for resource sharing in academic libraries in Southeast Nigeria.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

The impact of the sharing economy on traditional businesses has largely been analysed from both company and consumer perspectives. In the case of the latter, scholars have produced a rich field of research into different aspects of consumer behaviour and the way it is reshaped in these alternative consumption patterns. This study aims to provide a systematization of these studies and to develop a model for consumer behaviour in the sharing economy.

Following a three-step approach, a systematic literature review has been performed to analyse and classify 108 scientific papers about consumer behaviour in the sharing economy.

Four main research topics came up from the analysis: sharing approach, consumption pattern, post-purchase behaviour and sustainability. Basing on these clusters, the double-loop model of consumer behaviour in the sharing economy is presented and discussed.

The research allows to provide scholars and practitioners with the state of the art on consumer behaviour in sharing economy and to draft future research avenues to orient research and practice in the field.

This study aims to explain the influence of four socio-psychological variables: social comparison orientation, face saving (FS), status consumption (STC) and frugality (FGL) on consumers’ value perception toward ride-sharing services – one of the most widely used collaborative consumption models. Furthermore, it assesses how perceived value affects consumers’ intention to use (IU) the ride-sharing services and intentions to substitute ride-sharing services for using a personally owned car. It also assesses the moderating effect of psychographics on the relationship between consumers’ perception and behavioral intention.

A structured questionnaire was developed using existing scales adapted from the literature to test the hypothesized relationships. The data for the study were collected from 489 users of ride-sharing services in India. Structural equation modelling was performed to test the proposed model using AMOS 18 and moderation analysis was performed using PROCESS MACRO.

The findings of the study suggest that social comparison, FS, STC and FGL have a significant influence on consumers’ value (utilitarian and hedonic) perception. Furthermore, the results supported the effect of consumers’ value perception on their IU the ride-sharing services as well as their intention to substitute ride-sharing services for using a personally owned car. Lastly, the results also evidenced the moderating role of psychographic variables.

Very few studies have examined the role of psychographics in the adoption of collaborative consumption services. The paper attempts to fill this gap. It assesses the effect of four relevant consumer traits on perceived value in the ride-sharing services context. Furthermore, it expands the understanding of the role of psychographics by measuring their moderating effects apart from direct effects. The results of the study bear important implications for academicians, policymakers and marketers.

Despite the widespread prevalence of share pledging by Indian promoters, this area remains out of the researchers’ purview. This study aims to bridge this research gap by delineating the impact of promoter share pledging on future stock price crash risk and financial performance in India.

A sample of 257 companies listed on the Standard and Poor’s Bombay Stock Exchange 500 (S&P BSE 500) Index has been analysed using panel (fixed-effects) data regression methodology over 2011–2020. Further, alternative proxies for crash risk and financial performance are adopted to ensure that the study’s initial findings are robust. Finally, the instrumental variable with the two-stage least squares (IV-2SLS) method has also been employed to alleviate endogeneity concerns.

The results suggest a significantly positive relationship between promoter share pledging and future stock price crash risk in India. Conversely, this association is significantly negative for future financial performance. Moreover, the results hold, even after including alternative proxies of stock price crash risk and financial performance and addressing endogeneity concerns.

Owing to the sizeable equity shareholdings of the promoters, share pledging has remained a lucrative source of finance in India. Despite the popularity, the findings of this study question the relevance of share pledging by Indian promoters considering its impact on aggravating future stock price crash risk and deteriorating future financial performance.

The damping accumulated discrete MGM(1, m) power model is proposed for the problem of forecasting the share of agricultural output value and the share of employment in China.

In this study, the damping accumulated discrete MGM(1, m) power model was developed based on the idea of discrete modelling by introducing a damping accumulated generating operator and power index. The new model can better identify the non-linear characteristics existing between different factors in the multivariate system and can accurately describe and forecast the trend of changes between data series and each of them.

The validity and rationality of the new model are verified through numerical experiment. It is forecasted that in 2023, the share of agricultural output value in China will be 7.14% and the share of agricultural employment will be 21.98%, with an overall decreasing trend.

The simultaneous decline in the share of agricultural output value and the share of employment is a common feature of countries that have achieved agricultural modernisation. Accurate forecasts of the share of agricultural output value and the share of employment can provide an important scientific basis for formulating appropriate agricultural development targets and policies in China.

The new model proposed in this study fully considers the importance of new information and has higher stability. The differential evolutionary algorithm was used to optimise the model parameters.

A shared cognitive schema is the fundamental source of tacit understanding within a team. This study aims to address how such a shared cognitive schema emerges and evolves in an interdisciplinary research team.

This study uses an exploratory single case study to analyze the emergence and evolution of a shared cognitive schema in an interdisciplinary research team systematically. The authors spent more than two years collecting data from the IAM team via semistructured interviews, archival data and observation. Subsequently, a framework for the resulting mechanism model was developed by analyzing the data using a three-step process.

This study shows that as the interdisciplinary research team develops, the shared cognitive schema passes through three stages: overlapping cognitive schema, complementary cognitive schema and synergetic cognitive schema. The mechanisms of overlap, complement and synergy play important roles. The convergent roles of partner-based recruiting, knowledge categorization and following the existing institution facilitate the overlapping of knowledge structures. Complementary cognitive schema sharing is facilitated by interdisciplinary member selection, knowledge stock expansion and the effects of accomplished mentors. The synergetic behaviors of group voice, interactive cognition and adaptive learning facilitate synergetic cognitive schema sharing.

This study is the first to discuss the emergence and evolution of a shared cognitive schema at the microlevel of knowledge structure and belief structure. It offers a new theoretical perspective on the development rules of scientific research teams and provides practical enlightenment regarding the establishment and operation of interdisciplinary research teams.