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Environmental uncertainty (EU) and firm size (FS) generate inertial forces that can push small and medium-sized enterprises (SMEs) to emphasize either exploration or exploitation. In this article, the authors explore how structural (e.g. formal processes, control and discipline) and social (e.g. employee support and decision-making involvement) managerial instruments counteract such inertial forces and enable SME ambidexterity. Building on the organization-context literature, the authors propose a model in which EU and firms' size moderate the relationship between structural and social managerial instruments on SME ambidexterity.

The authors examined a moderation model using surveys of chief executive officers (CEOs) and performance archival data from 237 Chilean SMEs.

The authors find that the positive effect of structure on SME ambidexterity decreases with FS. In contrast, social instruments have a positive effect on ambidexterity for larger firms, especially for those operating in uncertain environments. In cases in which EU and firms' size reinforce the exploration or exploitation tendencies of SMEs, structural and social instruments play a complementary role in achieving ambidexterity.

The authors contribute by proposing a contingent mix of structural and social instruments to enable SME ambidexterity. These results inform policymakers and SME managers by suggesting strategies to promote ambidexterity based on firms' size and EU.

The construction workforce plays a crucial role in the successful delivery of any construction project and, eventually, the performance of any construction organisation. Effectively managing these workforces becomes crucial. However, past studies have shown that workforce management within the construction industry has been on the back foot, with workers being seen as resources required to deliver construction projects. This situation begs the need for a construction workforce management model that can be tailored to an organisation’s situation and adopted to manage workers and improve organisational performance effectively. To this end, this chapter reviewed existing workforce management theories, models, and practices to develop a suitable approach towards managing the construction workforce. Ultimately, a strategic workforce management with a classical view using a soft workforce management approach that embraces employees’ empowerment and development through trust was proposed. Five major practices that best suit the soft workforce management approach were identified as key constructs in the proposed construction workforce management model.

This study proposes a methodology based on data source triangulation to measure the “strategic fit” for the automotive supply chain.

At first, the authors measured the responsiveness of the Indian automobile supply chain, encompassing the top ten major automobile manufacturers, using both sentiment and conjoint analysis. Second, the authors used data envelopment analysis to identify the frontiers of their supply chain. The authors also measured the supply chain's efficiency, using the balance sheet. Further, the authors analyzed the “strategic fit” zone and discussed the results.

The results indicate that both the proposed methods yield similar outcomes in terms of strategic fitment.

The study outcomes facilitate measuring the strategic fit, thereby leveraging the resources available to align. The methodology proposed is both easy to use and practice. The methodology eases time and costs by eliminating hiring agencies to appraise the strategic fit. This valuable method to measure strategic fit can be considered feedback for strategic actions. This methodology could also be incorporated possibly as an operative measurement and control tool.

Data triangulation meaningfully enhances the accuracy and reliability of the analyses of strategic fit. Data triangulation leads to actionable insights relevant to top managers and strategic positioning of top managers within a supply chain.

This study aims to explore the determinants of digital technology adoption within micro, small and medium enterprises (MSMEs) operating in a developing economy. Grounded in the theoretical frameworks of fit-viability and task-technology fit models, this study investigates the impact of environmental fit, task-technology fit and viability on the intention to adopt digital technologies among MSMEs.

This study validates the theoretical model using structural equation modeling, using data collected from 280 experienced respondents employed in the MSMEs in India.

The results indicate that both functional and symbolic benefits positively impact managers’ intention to adopt digital technology. However, subgroup analysis reveals that in the case of service enterprises, only functional benefits have a positive influence on managers’ intention to adopt digital technology. In addition, the findings underscore the crucial role of viability in shaping the intention to adopt digital technologies among MSMEs. This study highlights how functional and symbolic benefits motivate digital technology adoption in MSMEs.

There is a dearth of empirical studies investigating the factors influencing the adoption of digital technology by MSME firms, especially within the context of developing economies and specifically within the MSME domain. This study contributes to the theoretical discussion surrounding digital technology adoption among MSMEs in India. Through empirical research, it expands on the fit-viability model and formulates a technology adoption model within the MSME context.

Using social information processing and sense-making theory, the current study examines how the poly-contextual factors and social environment of employees provide unique cues and shape an employee's person-job (PJ) fit perceptions in ways that enable males to perceive a better PJ fit than their female counterparts at work. These perceptions of PJ fit act as mediating processes between gender-based differences in HR commitment or HR control attributions.

After collecting two waves of data over a six-month period from a sample of 498 banking sector professionals in Pakistan, the hypothesized relationships were tested using hierarchical multiple regression.

It was found that gender (female) was positively related to HR control attributions and negatively related to PJ fit perceptions and HR commitment attributions. The mean differences between males and females concerning these study variables were significant. Also, PJ fit mediated the relationship between gender and HR attributions.

The study contributes to the advancement and understanding of the predictors of HR attributions by examining the poly-contextual factors that shape unique experiences, knowledge structures and social information processing, thus forming distinct PJ fit perceptions and subsequent HR commitment or control attributions for males and females.

Breast cancer is the most diagnosed type of cancer in the world, and mastectomies to remove tumors are still common. An external breast prosthesis (EBP) can be used to minimize the asymmetry, due to the ablation. Some governments do not cover costs of that assistive technology, and women end up using socks and fabric pockets filled with seeds, to simulate the volume lost in the surgery. This study aims to offer to those women a decent solution, ergonomic, but still affordable.

The authors interviewed 20 mastectomized Brazilian women, listened to their relate and 3D scanned them, to give rise to personalized external lightweight breast prostheses. The authors used free software for computer-aided design and computer-aided manufacturing, and low-cost 3D printers. From the strategy of bespoke products, this study generalized the method, to conceive mass customized prostheses, in a compromise solution that reduces personalization, conserving the best features of design.

This study achieved a method to manufacture ergonomic, bespoke external breast prostheses, using low-cost technology. Previous literature made them using expensive scanners, software and printers.

The authors validated this method during pandemic, which restricted the number of patients the authors could have access to. This impacted authors’ possibility to work on matching the color of the final product and real skin. The authors understood, though, that precision of color, in the final product, is challenging, because of the peculiar aspects of human skin.

Using the method the authors proposed, personalized external breast prostheses can be manufactured using low-cost resources, democratizing better quality of life for more breast cancer survivors.

When retail businesses, especially small businesses with greater vulnerability, could not meet consumers in person during the recent pandemic crisis, how did they adapt to the situation? This study examined how small business practitioners (SBPs’) perceptions, trust and adoption intention levels for social media, as well as the relationships among these variables, changed before and during the crisis based on the integration of the contingency theory and the diffusion of innovation theory (DIT).

Online surveys were conducted with USA SBPs before (n = 175) and during (n = 225) the recent pandemic. The hypotheses were tested using structural equation modeling (SEM), multivariate analysis of variance (MANOVA) and multiple-group SEM analysis.

The results confirmed significant sequential positive relationships between SBPs’ perceived external pressure and perceived benefits of adopting social media, which in turn led to their trust in and then adoption intentions for social media. Further, the comparisons between the pre- and in-pandemic samples revealed that SBPs’ perceptions and adoption intentions all became significantly higher during (vs before) the pandemic, but the structural relationships among these variables weakened during the pandemic.

This study uses a novel approach to integrate the contingency theory with the DIT to propose small businesses' perceptions, trust and adoption intentions for social media during the innovation decision process under rapid contingency changes. Our findings also offer practical implications including recommendations for small businesses’ innovation management as well as training programs.

Technical knowledge is a key factor in firm innovation. This study aims to construct a theoretical framework of technological boundary-spanning search, exploratory innovation and exploitative innovation to help firms adjust their search strategies and improve the effect of external resources on internal innovation.

The study uses questionnaires to collect data and conducts empirical analysis using SPSS25 and AMOS24.

Technological boundary-spanning search is positively correlated with ambidextrous innovation. Additionally, knowledge base positively moderates the effect of technological boundary-spanning search on ambidextrous innovation and knowledge distance negatively moderates the effect of technological boundary-spanning search on ambidextrous innovation. When a firm’s knowledge base is robust, its ambidextrous innovation can benefit more from technological boundary-spanning search. Additionally, when the knowledge distance is less, a firm’s ambidextrous innovation can benefit more from technological boundary-spanning search.

Considering organizational ambidexterity, this study divides firm innovation into exploratory innovation and exploitative innovation and presents a theoretical framework for the effect of technological boundary-spanning search on ambidextrous innovation. Additionally, it provides a comprehensive understanding of the crucial roles of knowledge base and knowledge distance in the relationship between technological boundary-spanning search and exploratory and exploitative innovation.

Despite the growing scholarly interest in examining entrepreneurial orientation (EO)-performance link, the results have been inconsistent. However, studies have not explored firm-level and external factors that may serve as mechanisms or boundary conditions to explain this relationship. Therefore, the purpose of the study is to examine how and when EO influences performance by incorporating sustainability practices as a mechanism and competitive intensity as an important contingent factor.

Using primary data obtained from 323 chief executive officers/entrepreneurs, the authors analyzed the data using structural equation modeling in LISREL and Hayes PROCESS in SPSS.

The authors found that sustainability practices serve as a mechanism through which EO influences small and medium enterprises' (SMEs) performance. The study further revealed that the relationship between EO and sustainability practices is weakened at high levels of competitive intensity. Still, the relationship between EO and performance through sustainability practices remains strengthened when competitive intensity is present at high levels.

This study contributes to the literature by examining how SMEs who are less endowed with resources can engage in sustainability practices that can match large firms with stronger EO to achieve increased performance. Additionally, the study contributes to the literature by examining the mediating effect of sustainability practices in the EO-performance relationship. Finally, the study contributes to the body of literature by testing how competitive intensity presents as a boundary condition to leverage the relationship between EO and performance.

This paper investigates the relationship between technological uncertainty and the use of Industry 4.0 (I4.0) technologies, and its impact on the implementation of agile and lean supply chain strategies. It also examines the effect of both of these supply chain strategies on focal firm operational performance in terms of efficiency in manufacturing processes and delivery performance.

Survey data were gathered from 256 focal manufacturing companies in Spain using a structured questionnaire. Covariance-based structural equation modeling (CB-SEM) is used to test the conceptual model.

Underpinned by the Contingency Theory and the Resource Orchestration Theory, the results indicate that technology uncertainty has a strong association with I4.0 technology use. Furthermore, the use of I4.0 technologies facilitates the implementation of the lean supply chain strategy and the agile supply chain strategy. Focal firm operational performance was also observed to be affected by the two strategies in different ways.

This study extends the literature on operations management by studying the fit between the external environment and strategy by incorporating an in-between element: the use of I4.0 technologies. This research provides a unique empirical analysis of the role of technology uncertainty and integration between I4.0 technologies and supply chain strategies.