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The paper underpins an advanced domestic manufacturing that comes with some advanced employment specialization status of individual industries as the key determinant of foreign direct investment (FDI) and considers how FDI in the food processing industry in India relates to this focal point.

This paper investigates how inward FDI inflows relate to domestic investment and revival in the industry using Auto Regressive Distributed lags (ARDL) model over the period 2000–2017. The model allows for different specifications to study whether FDI is responsible for the revival or the prior revival induces the FDI.

The results show the lack of proper advanced specialized employment status of the food processing industry. FDI in food processing is mainly guided by exports and imports opportunities and FDI plays no role in the revival of advanced growth in the industry. This finding explains why FDI in the industry is predominantly service sector oriented.

The paper underlines (1) the proper conceptualization of human capital as an important determinant of FDI; (2) reinterpretation of Kaldor's technical progress function that uncovers how employment dynamics embedded in intermediate goods specializations play a key role in supporting a higher pace of investment (and FDI); (3) labor costs' importance should involve not only the wage rate but also the advantages that a specialized employment base and (4) FDI in manufacturing demands a greater policy focus on developing domestic bases of intermediate goods specializations.

This paper aims to analyze factors based on organizational knowledge management (KM; transactional memory systems and knowledge-oriented leadership [K-OL]) that help firms to mitigate conflicts based on task management at work, with the aim to improve their innovation capabilities (IC). The knowledge-based view of the firm, conflict management theory and cognitive collective engagement theory have been used to build a model of relationships that connects the development of positive KM contexts and management of dysfunctional conflict with IC improvement.

Data survey collected from inland hotel establishments in Spain is used to test seven hypotheses by means of structural equations modeling, applying the partial least squares technique. Direct, indirect and mediating relationships between variables are examined from the structural path model.

The results confirm that, as expected, IC improve when K-OL and transactive memory systems (TMSs) are properly implemented by hotel establishments, which leads them to reduce negative effects of task management conflict (TMC). Significant direct effects are found between the key variables of the study and also a significant indirect effect between K-OL and IC through TMS reinforcement and the mitigation of TMC.

This paper provides useful ideas for hotel managers about how to improve KM contexts in their establishments while avoiding TMC. Efforts devoted to creating those contexts by hotel establishments are shown to be effective to improve their IC and create competitive advantages.

The analysis of IC improvement by studying TMC mitigation had not been researched to date by the KM literature. The consideration and testing of a model that integrates KM-related tools such as K-OL and TMS to avoid TMC in the hotel industry is the main contribution of this study.

The purpose of this study is to enhance the conceptual and practical understanding of individual, group and future knowledge as perceived by company owners and managers operating in Vietnam. To date, knowledge gaps remain concerning this emerging economy, for instance, regarding the significance of knowledge management (KM) skills and innovativeness in positively affecting firms' journey. Overall, the study will add to the extant KM literature, partly address extant research gaps and develop a conceptual model. To support the study's literature foundation, the knowledge-based view framework will be considered.

An inductive approach and multi-case study were chosen. The views of 17 individuals in leadership positions representing six companies were gathered through semi-structured, in-depth interviews.

The analysis revealed the influence of seven dimensions. First, the importance of individuals' knowledge is conceptualised by the conspicuous, approach-based and self-initiated dimensions. Second, the collective action-based and collective approach-based knowledge dimensions illuminate the importance of group knowledge. Third, the externally and internally-oriented knowledge dimensions provide guidance and understanding concerning future knowledge. The analysis also underlines the alignment between the findings and the knowledge-based view in various areas.

The dimensions illuminating the research have practical implications for business owners/managers, for instance, motivational and rewarding strategies that companies could consider in order to enhance or maintain a high flow of knowledge acquisition and operationalisation. Furthermore, these implications could help foster a stronger entrepreneurial culture and benefit Vietnam or other emerging economies in their development and success journey. Conceptually, a developed framework affords a richer understanding of the different facets of knowledge at a company level.

Digital transformation of organizations has major implications for required skills and competencies of the workforce, both as a prerequisite for implementation, and, as a consequence of the transformation. The purpose of this study is to analyze required skills and competencies for digital transformation using the context of robotic process automation (RPA) as an example.

This study is based on an explorative, thematic coding analysis of 119 job advertisements related to RPA. The data was collected from major online job platforms, qualitatively coded and subsequently analyzed quantitatively.

The research highlights the general importance of specific skills and competencies for digital transformation and shows a gap between available skills and required skills. Moreover, it is concluded that reskilling the existing workforce might be difficult. Many emerging positions can be found in the consulting sector, which raises questions about the permanent vs temporary nature of the requirements, as well as the difficulty of acquiring the required knowledge.

This paper contributes to knowledge by providing new empirical findings and a novel perspective to the ongoing discussion of digital skills, employment effects and reskilling demands of the existing workforce owing to recent technological developments and automation in the overall context of digital transformation.

Over the past decades, mainstream studies have generally indicated that new ventures could improve entrepreneurial performance by adopting strategic alliances (SAs). However, recently an increasing number of new ventures appear to not realize this objective using SAs at all times and may, rather, even be stuck in the survival trap. This dilemma indicates that the causal relationship between SAs and entrepreneurial performance in new ventures is not simply linear and rather a further complex nonlinear relationship. To handle this debate, this study attempted to reveal the nonlinear relationship of two types of SAs (technology alliances and market alliances) in new ventures with entrepreneurial performance (organizational growth and customer value). In addition, the moderating effect of transactive memory system (TMS) in the entrepreneurial team under the nonlinear relationship was explored.

This study established a research model by considering technology alliances and market alliances as two independent variables, organizational growth and customer value as two dimensions of entrepreneurial performance, and TMS as the moderators. The survey data collected from 207 Chinese new ventures was subjected to the hierarchical linear regression method for testing the proposed hypotheses.

The results revealed that there is an inverse U-shaped relationship between technology alliances and organizational growth, while the relationship between technology alliances and customer value was U-shaped. In addition, the relationship between market alliances and organizational growth was U-shaped, while an inverse U-shaped relationship was observed between market alliances and customer value. Finally, TMS was observed to positively moderate the U-shaped relationship between technology alliances and customer value as well as the U-shaped relationship between market alliances and organizational growth.

This study concluded that a nonlinear relationship between SAs and entrepreneurial performance existed in new ventures, which contributes to resolving the debate on whether new ventures could adopt SAs to improve entrepreneurial performance at all times. Specifically, the findings of this study would enrich the existing literature on the outcomes of SAs in new ventures through an evaluation of the effect of the inverse nonlinear relationship between technology alliances and market alliances on entrepreneurial performance (e.g. organizational growth and customer value). In addition, the findings of this study would extend the discussions about the conditions of the above causal relationship by introducing the TMS as the core moderator.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

Prior literature has long argued that knowledge networks contain great opportunities for innovation, and researchers can identify these opportunities using the properties of knowledge networks (PKNs). However, previous studies have examined only the relationship between structural PKNs (s-PKNs) and innovation, ignoring the effect of qualitative PKNs (q-PKNs), which refer to the quality of the relationship between two elements. This study aims to further investigate the effects of q-PKNs on innovation.

Using a panel data set of 2,255 patents from the Chinese wind energy industry, the authors construct knowledge networks to identify more PKNs and examine these hypotheses.

The results show that q-PKNs significantly influence recombinant innovation (RI), reflecting the importance of q-PKNs analysed in this study. Moreover, the results suggest that the combinational potential of an element with others may be huge at different levels of q-PKNs.

This study advances the understanding of PKNs and RI by exploring how q-PKNs impact RI. At different levels of PKNs, the potential of the elements to combine with others and form innovation are different. Researchers can more accurately identify the opportunities for RI using two kinds of PKNs. The findings also provide important implications on how government should provide support for R&D firms.

This study assesses how the transactive memory systems (TMS) framework extends to cross-organizational ties. This research also treats TMS dimensions (i.e. knowledge specialization, coordination and trust) as distinct variables, each with unique contributions toward innovation.

This study used a survey to collect data. Out of the 140 Fintech firms registered with OJK in Indonesia in 2021, 101 firms responded to the invitation to participate in the survey. Structural equation modeling was used to analyze the data.

The authors find evidence that collaborating with partners displaying high knowledge specialization leads to radical innovation, while low knowledge specialization collaborations lead to incremental innovation. Both relationships are moderated by the level of coordination and trust between collaborating partners, underlining the impact of TMS on the cross-organizational collaboration aspect. Finally, while incremental innovation leads to higher performance, radical innovation does not enhance performance in the short term.

This study explains how Fintech peer-to-peer lending firms' proficiency in pursuing innovation depends on their liaison with the collaborative partners.

This paper aims to study the role of absorptive capacities in coopetitive alliances that involve leakages of sensitive private knowledge regarding firms’ production processes.

This paper uses a game theoretic approach to model a differentiated product market in which two firms asymmetrically informed about the economic value of a business opportunity must cooperate to exploit this opportunity. Under coopetition, firms gain access to their partners’ core knowledge as the result of inevitable leakages of information. Firms differ in their absorptive capacities, which affects their abilities to leverage this new knowledge outside the collaborative activity.

Firms with superior absorptive capacities are more likely to devise alliances whose purpose is to gain access to their partners’ core knowledge. This opportunistic behaviour does not disappear even if firms compensate their partners for the damages caused by this deceptive business practice. This paper also finds that a highly specialised product safeguards firms with limited absorptive capacities against these opportunistic behaviours.

This paper provides a theoretical analysis of the role that absorptive capacities and product specialisation play in influencing the emergence of opportunistic behaviours in coopetitive alliances. The theoretical analysis underscores the extent to which the risk of opportunism associated with the exploitation of a partner’s specific core knowledge outside the scope of the cooperative activity affects not only the nature and intensity of market competition but also the incentives to pursue coopetitive alliances.

The study provides an evaluation of the knowledge and skills importance covered in the degree of Logistics and Supply Chain Management (LSCM) as well as the knowledge and skills gap of graduates entry-level.

The study used both descriptive and exploratory research designs. The study adopted a self-administered questionnaire. The sample size is 41 logistics industry mid-managers of six organizations selected from the main operators of Sohar Port in Oman.

The findings reveal that logistics professionals agree on the importance of all the learner attributes, knowledge and cognitive skills, and general competencies identified in a university degree with a major in LSCM. Furthermore, the results identified moderate levels of gaps in five knowledge areas and six soft and hard skills of graduates at the entry level.

Further research can be built on this study findings by evaluating the perception of logistics and supply chain industry professionals in different global contexts and investigate the effectiveness of different training and educational programs in enhancing the knowledge and skills of logistics professionals in various regions.

This study may extend beyond Oman and have important implications for LSCM practices in other developing countries. Universities' management in developing countries can use this study findings to identify the key skills required by entry-level logistics professionals and incorporate them into their curricula to better prepare graduates for the workforce. In addition, the skills identified in our study, such as decision-making skills, managing stress, negotiation skills and critical thinking, are relevant to logistics professionals in other developing countries with similar socio-economic and industry characteristics.

Unlike the prior studies that focused on the mismatch between educational degrees and job requirements without considering study specializations and industry, this paper lays a nuanced understanding of the knowledge and skills gap associated with entry-level graduates of the logistics and supply chain industry. As such, the paper offers inputs for the LSCM academic degree related to knowledge and skills needed by logistics and supply chain industry.