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The purpose of this paper is to show how members of a “vintage community of practice” (CoP) – the Multiple Arcade Machine Emulator (MAME) community – recombine old technological knowledge with new technological knowledge. A vintage CoP is a group of aficionados of old technology who keep using it even after superior new technologies have emerged and technological change has taken place. This paper presents mechanisms through which developers and gamers in the MAME community and its subcommunities or hubs select and recombine old and new technology to update old arcade videogames in a format that is playable on current personal computers (PCs).

An inductive single-case exploratory case study was conducted in the MAME community. Semi-structured interviews were conducted with core community members to uncover mechanisms through which old technology-related knowledge (T-RK) was combined with new T-RK to update old versions of arcade video games into software versions that can be played on current PCs. Informant discourses were analyzed using first- and second-order coding methods.

Our data revealed three mechanisms through which community leaders positively impact new and old T-RK recombinations that led to new knowledge creation within the MAME vintage CoP. We named these mechanisms leader mentorship, leader self-development propensity and clustering in the community. Our data also revealed a two-phase knowledge creation process in an open-source software community (OSSC) that supports the MAME community: knowledge selection and knowledge recombination.

The study is limited by the size of the investigated community, so further research should be conducted in multiple vintage CoPs so as to generalize our results.

Our results offer practitioners insights into the internal knowledge creation mechanisms that occur in vintage CoPs. Our findings seek to motivate managers to start collaborating with vintage CoPs to develop products for the niche vintage product markets.

This research is one of the first in the field of vintage communities of practice. It affords understanding of social mechanisms by which old technologies are combined with new ones to give rise to vintage products that suit the needs of niche vintage product markets.

The paper proposes first, to understand how and how much knowledge contributes toward explicit business performance improvement and, second, through the understanding of knowledge contribution, to provide a guiding principle for the effective knowledge management activities.

The authors use a Cobb‐Douglas type production function to model the relationship between knowledge and performance. Then, regression analysis is used to estimate the knowledge elasticity of performance. Finally, a laboratory experiment is used to demonstrate the whole process.

A performance‐oriented knowledge management approach was developed. Through the analysis of knowledge‐intensive production function, it is shown that the knowledge elasticity of performance for each knowledge entity (product knowledge and process knowledge) can be estimated and can be used with great managerial implications.

Extensive empirical analyses in the real world business environment would be helpful to verify and generalize this approach.

The paper demonstrates the specific process of how to measure the contribution of knowledge to performance, and provide a guiding principle for the effective knowledge management activities.

As far as the authors understand, this is the first systematic and complete approach to analyze and estimate the contribution of knowledge to performance. Using the production function approach, it was possible to estimate the knowledge elasticity of performance, which provides valuable insight on the resource allocation for knowledge management activities.

Adaptation to the requirements of digital economy is especially difficult for older workers, which is a challenge for today’s organizations due to workforce shrinking and ageing. Therefore, the purpose of this paper is to investigate how it is possible to develop older employees’ potential in technology use in the business environment.

The authors examined how employees at various age perceive barriers during enterprise system (ES) adoption and use. This exploratory study is based on grounded theory and draws from the opinions of 187 Polish ES practitioners.

With age, emphasis on employees’ perception of mandatory ICT implementation projects is shifting from technology to people-related considerations. For older employees, job security and workload appear the most critical issues in such projects. Age-diverse collaboration appears necessary to address the problems posed by technology-related and demographic changes.

The findings imply that incorporating multiple stakeholder perspectives and age-related considerations into research on ICT adoption appears essential.

ICT adoption in the business environment can be successfully supported by age-balanced team building, cooperation between younger and older employees, and age-adjusted change management initiatives.

Supporting older employees during the implementation of mandatory business software should embrace reducing their negative attitudes to ICT-induced change by minimizing their perception of job insecurity.

Unlike many prior studies, the current research places age in the central role and discusses not only how it is possible to support older employees, but also how to leverage their potential in the process of ICT adoption and use in a mandatory setting.

This study aims to examine the role of salespeople’s skills in relative and absolute SP in business-to-business (B2B) settings of services firms. This conceptual logic reported in meta-analytical works, that salespeople’s skills relate directly to their sales performance (SP), is questioned.

his research relies on existing theory and previous studies on SP drivers and SP measures. The literature identifies a set of common denominators on the role of salespeople’s skills regarding their SP, all of which are tested in this study. Based on a deductive approach and questionnaire survey, 732 service firms in Norway were targeted. A total of 389 questionnaires were returned, generating a response rate of 53.1%.

A total of 10 out of 12 hypothesized relationships in the research model dealing with the relationship between SP drivers and SP turn out to be non-significant. The hypothesized relationship in the research model between relative and absolute SP is also supported.

The results reported in this study, based on a large sample of service firms, empirically confirm that the direct effect is generally overestimated. Empirical evidence is provided that sheds additional light on the role of salespeople’s skills in relative and absolute SP in B2B settings of services firms.

This study offers meaningful and relevant insights into the monitoring of SP drivers to practitioners in B2B sales settings of services firms. Salespeople need to learn about gathering knowledge in training programs about each customer and their specific situation. Firms should strive to recruit salespeople who possess the appropriate skills, taking into consideration their customers and specific situations related to them, such as experiences from competitors. Salespeople may be organized around similar customers and similar customer situations, rather than geographical assignments.

Overall, this research contributes insights into the role played by salespeople’s skills in relative and absolute SP in B2B settings of services firms. In particular, the research contributes additional insights into the non-existent role of interpersonal presentation and communication skills, adaptiveness of sales approach and sales behavior skills and product/technology-related knowledge skills in salespeople’s relative and absolute SP in B2B settings of services firms.

Digital entrepreneurship is a highly topical, sub-specialist and contemporary branch of entrepreneurship which is providing ever-increasing range of platforms for pursuing entrepreneurship-related career options. While the academic discourses in this area are increasingly growing, there is an equal level of scant attention paid to inquire how proclivity toward this career choice is developed and influenced. In the present study, this gap has been addressed by identifying major antecedents of digital entrepreneurship intentions under the aegis of capital theory.

Using the survey data from 287 respondents, structural equation modeling was utilized to explore the association of four antecedents: digital entrepreneurial competence, innovative cognition, social media adroitness and digital entrepreneurship role models on the goal intentions. Subsequently the association between goal intention and implementation intention to start a digital venture was also examined.

The analysis confirms the significant impact of the identified antecedents on the digital entrepreneurial volition of potential entrepreneurs. Our results demonstrate that innovativeness has the greatest impact on the goal intentions to create new digital ventures followed by the presence of role models. Digital competence is also a significant contributor in enhancing the propensity to start digital ventures while being digitally adroit has the least impact on such inclination. Lastly, our study provides empirical evidence to the linkage between goal and implementation intentions.

This paper informs practice on entrepreneurship education especially the role of skill-based education programs to enhance the information technology–related knowledge of students and incubation support for hands-on-training on the various dimensions of digital ventures. At policy-level institutions providing entrepreneurial education can design special tasks and learning activities that are focused on acquainting students with design thinking perspectives and lean start-up approaches.

Existing studies have paid less attention to the impact of knowledge accumulation on digital transformation and its boundary conditions. Hence, this study aims to investigate the effects of ambidextrous knowledge accumulation on manufacturing digital transformation under the moderation of dynamic capability.

This study divides knowledge accumulation into exploratory and exploitative knowledge accumulation and divides dynamic capability into alliance management capability and new product development capability. To clarify the relationship among ambidextrous knowledge accumulation, dynamic capability and manufacturing digital transformation, the authors collect data from 421 Chinese listed manufacturing enterprises from 2016 to 2020 and perform analysis by multiple hierarchical regression method, heterogeneity test and robustness analysis.

The empirical results show that both exploratory and exploitative knowledge accumulation can significantly promote manufacturing digital transformation. Keeping ambidextrous knowledge accumulation in parallel is more conducive than keeping single-dimensional knowledge accumulation. Besides, dynamic capability positively moderates the relationship between ambidextrous knowledge accumulation and manufacturing digital transformation. Moreover, the heterogeneity test shows that the impact of ambidextrous knowledge accumulation and dynamic capabilities on manufacturing digital transformation varies widely across different industry segments or different regions.

First, this paper shifts attention to the role of ambidextrous knowledge accumulation in manufacturing digital transformation and expands the connotation and extension of knowledge accumulation. Second, this study reveals that dynamic capability is a vital driver of digital transformation, which corroborates the previous findings of dynamic capability as an important driver and contributes to enriching the knowledge management literature. Third, this paper provides a comprehensive micro measurement of ambidextrous knowledge accumulation and digital transformation based on the development characteristics of the digital economy era, which provides a theoretical basis for subsequent research.

Technostress is becoming one of the main challenges among employees in the increasingly digital work context. Following the job demands-resources (JD-R) theory, this study aims to understand how technostress (e.g. techno-overload, techno-complexity, techno-insecurity and techno-uncertainty) decreases employees’ work well-being through exhausting one’s emotional and physical resources (i.e. work exhaustion), and to what extent workplace knowledge diversity could buffer this relationship.

The authors collected three-wave data of 235 employees from three manufacturing companies in China. They conducted a moderated mediation model to test their hypotheses.

The results showed that work exhaustion mediated the relationship between technostress and employee work well-being and that perceived workplace knowledge diversity buffered this indirect effect.

This study might be one of the first attempts using the JD-R theory together with a three-wave longitudinal survey design to empirically examine the mediating role of work exhaustion and the moderating role of workplace knowledge diversity. The authors contribute to the information and technology management literature by underscoring the importance of being aware of technostress and managing technology-induced work exhaustion. They highlight that a knowledge-diverse work environment is an essential context that can help employees to handle difficult and complex tasks presented by various technologies and alleviate experienced technostress.

The purpose of this paper is to examine the generation and transfer of knowledge in information technology‐related small and medium enterprises (SMEs).

Based on a survey of 105 employees from 30 organizations in Barcelona, Spain, the authors use a structural equation approach to validate the conceptual model.

Personal motivation and the opportunity to learn from other employees are critical to generate knowledge. The attitudes and abilities of those who take part in the transfer process are also relevant, and this is especially true in cases when knowledge is highly tacit. Personal development is one example of knowledge‐based organizational and social development.

The results point to the importance of the roles of managers and employees as bearers of initiative, voluntary effort and commitment. At the same time, they suggest that the firm's strategic planning process should include the knowledge to be transferred.

Two phases of knowledge management are studied, generation and transfer in IT‐related SMEs, and this study demonstrates how these processes are relevant.

The purpose of this study underpins investigation of the impact of human IT capabilities (comprising business functions, interpersonal management and technology management expertise) on organizational agility (in terms of sensing and responding agilities). The moderating influence of IT infrastructure spending on this human IT–agility linkage is also thoroughly investigated.

Primary data collected from 300 IT personnel working in various publicly owned banking groups functioning across India are used for this study and structural equation modeling (SEM) is used to assess the human IT–agility link.

The two-fold research findings highlight the following: first, human IT capabilities enable both the sensing and responding components of agility and second, firms need to focus on translating huge and impudent IT investments into building superior capabilities to effectively shape agility.

This study greatly contributes to the information system (IS) literature by examining human IT capability and agility in terms of second-order constructs and provides a more holistic and comprehensive understanding of this unique relationship. The study precisely investigates the manner in which distinct human IT capability dimensions interact with both types of agilities along with the moderating effect of IT spending on this linkage.

Apparel manufacturers' achievement of green manufacturing (GM) goal remains low. This paper aims to identify and prioritise the barriers to GM implementation in apparel companies.

First, an extensive literature review is conducted to identify the key barriers to GM implementation. Second, 374 usable questionnaires are collected from apparel manufacturing companies to (a) examine the impact of and (b) rank the barriers. Third, interpretive structural modelling (ISM) is applied to test the relationships among barriers. Finally, structural equation modelling (SEM) is applied to improve the model derived from the ISM.

The results reveal that the independent barriers – lack of eco-literacy among upstream or downstream supply chain members, lack of specific company-level training and monitoring of the progress of GM implementation and inadequate support from regulatory authorities – are the root causes of all the barriers. These three barriers are also at a low level of the ISM model, indicating that they significantly affect the entire system and therefore should be accorded the highest priority in dealing with these barriers.

The results are useful for decision-makers and apparel companies to understand identified barriers, develop potential GM interventions and formulate appropriate strategies to overcome these barriers.

The listed barriers are yet to be comprehensively synthesised in a coherent model and empirically tested in the apparel sector using a combination of the ISM and SEM techniques. The empirically validated model presented in this study is an important step in that direction.