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Using trait activation theory (TAT), this paper aims to empirically assess that work drive (WD) personality characteristics of employees will express better towards intrapreneurial behaviour (IB) outcomes in higher levels of job autonomy (JA) at the workplace.

Using cross-sectional design, a total of 258 engineering employees from the automotive industry of Pakistan were surveyed. The partial least square structural equation modelling (PLS-SEM) statistical method was used to evaluate the hypothesised theoretical model.

Statistical results revealed a significant and positive relationship between WD and IB. WD personality was also found to be activated with its interplay with JA for personality expression towards IB.

The present study offers a deeper insight into the interplay of organisational and individual factors as determinants of IB of employees. The study's findings suggested the importance of the rightful application of organisational situational cues in person–situation interaction for positive workplace behaviours by employees. Personality assessment of employees and their interplay with situational cues, as per conceptualisation of TAT, can assist the corporations towards enhanced levels of employees' behavioural tendencies towards intrapreneurship.

The application of TAT from the present study's perspective is novel theoretically as the literature on the activation of personality traits towards IB outcomes is non-existent. Also, the assessment of situational cues in JA will open avenues for organisational behaviour researchers to seek more organisational situational moderators for their assessment of various personality–outcome relationships in diverse contexts to activate personality traits.

The present study enriches the person-situation debate by developing and testing a theoretical model on the nexus between empowering leadership (EL) and intrapreneurial behaviour (IB) in the presence of a strong organisational situation of perceived organisational support (POS).

Cross-sectional survey data collected from 237 engineers working for Pakistani automakers were used to evaluate the suggested theoretical framework. The survey results were analysed using the partial least square structural equation modelling (PLS-SEM) method.

The results from the analysed data revealed a significant and positive relationship between EL and IB. POS significantly moderate the relationship between EL and IB as per the conceptualisation of situation strength theory (SST) and is established as a strong organisational situation that generates situational cues for IB outcomes from employees.

The present study provides new insights into determining employees' workplace behaviour as viewed from the organisational situations. Hence, top management in organisations can create a conducive environment by improving employees' POS for valued work behaviours like IB.

China has climbed from 22nd in the Global Innovation Index Rankings in 2017 to 11th in the 2022 due to the transition of its manufacturing firms from assemblers to system integrators. This paper examines how firms can enhance their innovation capability through inbound and outbound open innovation.

This paper applies both open innovation and a knowledge-based view and proposes a conceptual framework that encompasses innovation capability and the significance of tacit knowledge acquisition. A questionnaire was designed to collect relevant data from 139 Chinese manufacturing firms in six regions to test this framework.

The authors found that inbound open innovation has a stronger impact than outbound open innovation on synergistic innovation capability. The acquisition of skill-based tacit knowledge has a slightly stronger intermediary role between open innovation (no matter inbound or outbound) and synergistic innovation capability than cognitive tacit knowledge does.

Firms should improve external tacit knowledge acquisition efforts to generate new knowledge, inspire the innovation passion of employees and implement ambidextrous open innovation.

This paper makes a good first step to analyze the effect of ambidextrous open innovation on the synergistic innovation capability of Chinese manufacturing firms. It verifies the role of skill-based and cognitive tacit knowledge acquisition and provides new reflections on open innovation strategy in emerging economies, thus enriching open innovation and knowledge-based theories.

Forced labour is one of the most exploitative practices in supply chains, generating serious human right abuses. The authors seek to understand how relationships for reducing forced labour are influenced by institutional logics. The emerging supply chain efforts of social enterprises offer particularly intriguing approaches, as their social mission can spur creative new approaches and reshape widely adopted management practices.

The authors study supplier relationships in the smartphone industry and compare the evolving practices of two cases: the first, a growing novel social enterprise; and the second, a high-profile commercial firm that has adopted a progressive role in combating forced labour.

The underlying institutional logic influenced each firm's willingness to act beyond its direct suppliers and to collaborate in flexible ways that create systematic change. Moreover, while both focal firms had clear, well-documented procedures related to forced labour, the integration, rather than decoupling, of forced labour and general supply chain policies provided a more effective way to reduce the risks of forced labour in social enterprises.

As authors’ comparative case study approach may lack generalizability, future research is needed to broadly test their propositions.

The paper identifies preconditions in terms of institutional logics to successfully reduce the risk of forced labour in supply chains.

This paper discusses how social enterprises can provide a learning laboratory that enables commercial firms to identify options for supplier relationship improvement.

Despite the significance of the construction industry to the nation's economic growth, there is empirical evidence that the sector is lagging behind other industries in terms of productivity growth. The need for improvements inspired the industry's stakeholders to consider using emerging technologies that support the enhancement. This research aims to report augmented reality applications essential for contractors' productivity improvement.

This study systematically reviewed academic journals. The selection of journal articles entailed searching Scopus and Web of Science databases. Relevant articles for reviews were identified and screened. Content analysis was used to classify key applications into six categories. The research results were limited to journal articles published between 2010 and 2021.

Augmented reality can improve construction productivity through its applications in assembly, training and education, monitoring and controlling, interdisciplinary function, health and safety and design information.

The research provides a direction for contractors on key augmented reality applications they can leverage to improve their organisations' productivity.

This study examines the drivers of marketing channel participation amongst smallholder rice farmers in the northern region of Ghana.

Using a sample of 397 smallholder rice farmers drawn from a multistage sampling procedure, the study employed multivariate probit (MVP) model in the empirical estimations. In this context, the model assumes that a rice farmer should at least participate in one market channel.

The study reveals that the wholesaler market channel is the most commonly used channel among farmers, followed by the aggregator channel. However, the processor market channel is the least patronized one in the study area. The results also show statistically significant correlation coefficients in four out of the six possible combinations, implying that market channel participation among smallholder farmers is not mutually exclusive. Rice market channel participation is positively and significantly influenced by age, gender, household headship, access to credit, extension service, irrigation, improved seed and access to price information.

This study is limited in extending the analysis to include the impact of market channels on some outcome measures. This is due to data limitation.

The findings of this study add to the growing literature on smallholder market channel participation in Ghana.

Marketing is a hot topic, and the purpose of this study is to investigate how shareholding strategies can be applied to achieve strategic synergy between firms in vertical supply chains to improve retailers’ marketing efforts from a long-term perspective.

This study constructs Stackelberg models to analyze the operating mechanisms of shareholding supply chains under forward, backward and cross-shareholding strategies. The authors analyze the effects of shareholding on prices, marketing efforts and profits, and explore the strategic preferences and outcomes of different supply chain members.

Forward/backward shareholding plays the same role as cross/nonshareholding in supply chains because the effect of the retailer’s shareholding is offset by the power status of the manufacturer, and the retailer can still profit when wholesale prices are higher than selling prices in certain cases. A manufacturer’s shareholding in a retailer can benefit consumers and improve marketing efforts by reducing retailers’ marketing costs, while a retailer’s shareholding in a manufacturer has no such effect. None of all shareholding strategies can coordinate the interests of all members; however, an effective rebate policy can resolve this problem.

The results reveal the operational mechanism of shareholding supply chains and provide reference values for managers who want to improve marketing efforts and economic performance using a shareholding strategy.

This study focuses on identifying key principles for implementing strategic changes in design and construction companies interested in successfully using offsite construction (OSC) in multifamily housing projects, considering the need for more affordable and sustainable multifamily housing in the United States of America (USA).

Using mixed methods, the study involved three phases of data collection and data analysis: (1) delphi survey, (2) online survey, (3) proposition of principles and validation interviews.

The key principles identified by the present research are (1) develop product-oriented business model, (2) promote leadership and mindset engagement with OSC principles, (3) engage in partnerships and more innovative contractual models, (4) shift toward digital transformation, (5) develop training and knowledge management strategies, (6) adopt lean construction (LC) practices, (7) develop training and knowledge management strategies and (8) integrate logistics and supply chain management with AEC (architecture, engineering and construction) processes.

The implementation of the principles and strategic changes identified in this study aims to prepare design and construction companies, especially small and medium-sized enterprises (SMEs), to embrace the increasing use of OSC in multifamily projects in the USA, which will make them more efficient and resilient and, ultimately, will contribute to the construction of more affordable and sustainable multifamily housing projects in the USA.

This is the first research to address holistic strategies to support design and construction companies in adopting OSC.

Most recent C-suite surveying suggests current applications of generative AI, although hyped, are fragmented and unlikely to yield major financial returns anticipated. Instead, business leaders expect major value from generative AI will be achieved through application of generative AI to innovation: operational innovation, product and service innovation, and most elusive of all, business model innovation.

Findings and analysis presented draws on data from several surveys of C-level executives conducted by IBM Institute for Business Value in collaboration with Oxford Economics during 2023. Each survey focused on the potential of generative AI in a particular business area. The n-count of each survey ranged from 100-3000.

1. Business leaders expect generative AI to build on returns achieved from investments in traditional AI, with 10 percent RoI expected on generative AI investments by 2025. 2. Executives anticipate that generative AI will have most impact when implemented to expand innovation. 3. Specific examples provided for operational innovation, product innovation, and business model innovation

We are still very early in the generative AI development cycle. We have made best efforts to project, but only time will tell for sure.

Business application of generative AI are extremely fragmented. Despite the desire to throw investments at the wall to see what sticks, it is important that leaders take a structured approach to generative AI, focusing on RoI from innovation investments.

To alleviate negative impacts of generative AI, focusing on innovation potential and value maximization is crucial.

This research is based on completely new surveying and data. This papers adds to the sum total of new knowledge in the generative AI domain.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.