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Recent technological turbulence stemming from Industry 4.0 provides managerial opportunities and challenges simultaneously. In this context, the purpose of this study is to explore the role of technological opportunism on innovativeness and discover the impact of innovativeness on new products performance in international markets.

To empirically test the hypotheses, the authors have collected survey data from 237 Korean exporting firms and applied structural equation modeling.

Empirical results indicate that technological opportunism, which represents technology sensing and responding capability, has a positive and significant influence on both exploratory and exploitative innovativeness. Also, explorative and exploitative innovativeness have positive and significant effects on new product performance in international markets.

This study highlighted the importance of technology sensing and responding capabilities to capture emerging opportunities, which may arise from Industry 4.0 technologies. In addition, sensing and responding capabilities will help a firm create a culture that values innovative proclivity, and in turn, will lead to superior new product performance in international markets.

Despite extensive scholarly interest in Industry 4.0, previous studies have neglected to address the potential impact of Industry 4.0 within the domain of new product development and its performance. Also, there have been several calls from the literature to address the managerial and strategic issues surrounding the Industry 4.0 phenomenon. In this study, the authors attempted to fill the research gaps in Industry 4.0 research studies through empirical examination.

Research shows how with the evolution of technologies, technological opportunism enables firms to effectively identify and exploit innovations and opportunities through strategic management practices, such as adopting an entrepreneurial orientation. The study’s purpose is to explain the nature of the relationship between technological opportunism and innovation performance, while accounting for any possible moderating effects of entrepreneurial orientation.

A cross-sectional design was used to collect primary data from targeted respondents (n = 347) in the South African banking sector. Initially, instrument validity and reliability is established and the hypotheses are tested using multiple regression analyses.

The findings support the hypotheses insofar higher levels of technological opportunism are positively associated with higher levels of innovation performance, which is moderated by entrepreneurial orientation in terms of innovativeness, risk-taking and proactiveness. Moreover, competitive hostility, as a control played a significant role in the moderation effect between technological opportunism and innovation performance.

Leaders need to appreciate the importance of an entrepreneurial organization in leveraging technological opportunities which is pivotal for emerging economies, rather than individual entrepreneurial activities, which are rarely scalable in African economies.

The study provides an original contribution by increasing the theoretical and empirical reach of research on entrepreneurial orientation and technological opportunism. Since the original scales have primarily been employed in developed economies, by verifying their psychometric properties, this now allows for further replication studies to take place in other similar emerging market contexts.

The aim of this study is to examine the impact of the fit between product-service strategy and sensing capability on novelty, and the potential moderating impact of contextual factors (i.e. technological and market turbulence) on novelty.

In line with the aim of the study, a quantitative approach is adopted and a multi-item scale survey is designed to collect primary data. Using a mixed mode survey, a total number of 491 questionnaires are collected from a sample of UK-based telecommunications firms. Multiple regression is used to test the hypotheses and predict the outcomes.

The results support the positive contribution of a contingency approach to the study of the impact of the fit between product-service strategy and sensing dynamic capability on novelty. The results also partially confirm the reinforcing impact of technological and market turbulence on novelty.

This study extends research on product-service strategy and sensing capability by adopting a contingency view, which intends to serve two purposes: to complement the existing reductionistic explanations and to explore how the relationship between product-service strategy and sensing capability could create novelty as well as the degree to which this relationship could be moderated in light of the external contextual factors.

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.

This study aims to examine how three types of information technology (IT) capability (supplier technological capability, customer technology-sensing capability and relatedness of IT infrastructure) facilitate knowledge acquisition by the customer when the supplier is dominant in the supplier-customer relationship.

The unit of analysis was project. The authors designed two different questionnaires that were responded by the project manager of an enterprise resource planning (ERP) software supplier and the contact person of the customer organization in the same project, respectively. The two questionnaires were matched by means of project name. The final sample included a total of 136 projects. The authors used ordinary least squares to test the research hypotheses.

The authors found that supplier power advantage negatively influenced knowledge acquisition by the customer. The three types of IT capability did not have direct impacts on knowledge acquisition. The moderating effect of customer technology-sensing capability was not significant either. However, supplier technological capability and relatedness of IT infrastructure attenuated the negative effect of supplier power advantage on knowledge acquisition, indicating that both factors promoted knowledge acquisition.

Knowledge acquisition is important for the success of software implementation in the supplier-customer relationship. There is limited evidence in the literature on how to apply externally oriented IT capability to enhance knowledge management, improve knowledge acquisition and manage the business relationship that is typically dominated by the software supplier. The authors provide evidence to examine related issues.

This study aims to build a theoretical model including intermediate-level outside-in marketing capabilities (ILOIMC), radical and incremental technological innovations and management innovation.

This research used 272 pairs of survey questionnaires from Chinese firms’ managers to examine the hypotheses.

The results indicate that ILOIMC enhance management innovation by stimulating radical technological innovation. Furthermore, the mediating effect of incremental technological innovation depends on technological turbulence.

This study may have several limitations which future research could try to overcome: cross-sectional data, Chinese samples, exclusive focus on ILOIMC, sociotechnical approach to innovation typology and measuring ILOIMC as a first-order variable.

ILOIMC can significantly improve innovations in technology and management systems by using customer value and market information.

This study proposes a new taxonomy to classify marketing capabilities into lower-level inside-out marketing capabilities, ILOIMC and higher-level outside-in marketing capabilities. It also provides an explicit discussion and examination of the influence of ILOIMC on technological and management innovations and the contingency effect of technological turbulence. Thus, it responds to Musarra and Morgan’s (2020) call for more research into the mechanism that explains when (the conditions under which) and how (the process by which) outside-in marketing capabilities could contribute to firm innovation.

This paper aims to present a dynamic model based on casual relationships among the most important effective factors on business–IT alignment in Agile businesses by using system dynamics modeling approach.

To study the most important factors on agility and alignment, the data were collected by questionnaires filled by 201 experts and were analyzed by SPSS and PLS. Casual relationships among studied factors and efficiency coefficients of each factor were identified by fuzzy DEMATEL technique and analyzed by MATLAB and EXCELL. Finally, the dynamic model was plotted by VENSIM.

According to the results, only “learning IT capabilities” are the most important casual factor that has the highest influence on the other factors. “Business responding capabilities” take the highest effect from the system, and “business sensing capabilities” are in the next rank.

This study underpins effective IT deployment toward developing efficient IT capabilities to gain greater agility.

The dynamic capabilities view (DCV) has emerged as an influential theoretical and management framework in modern IS and agility researches. In this regard, we propose a conceptualization of dynamic capabilities in the form of an alignment model. Based on the dynamic capabilities, and on the alignment perspectives found in Henderson and Venkatraman’s seminal model, IT alignment is modeled as a process of reconfiguration of the firm’s IT and organizational resources, competencies and capabilities.

Dynamic capabilities (DCs) upgrade operational capabilities. However, DC dimensions of sensing, seizing and reconfiguring may combine in different configurations that result in alternative outcomes, depending on the firm's lifecycle stage. The purpose of this research is to explore configurations of DC dimensions during different stages of firms' lifecycles that result in operational marketing and technological capabilities.

Given the limited understanding of how DC dimensions and operational capabilities interact across a firm's lifecycle, the authors employed a multi-method approach to understand whether different configurations of DC dimensions may lead to operational marketing and technological capabilities and how the firm's lifecycle may condition these configurations. The authors first apply PLS path modelling to assess the validity and reliability of the measures. Then, the authors use fuzzy-set qualitative comparative analysis (fsQCA) to analyse micro, small and medium-sized enterprises (SMEs) in different growth stages operating in the creative industry within highly competitive and fast-changing environments.

Results show that several configurations of DC dimensions and competitive intensity influence marketing and technological capabilities. Although several configurations include sensing, seizing and reconfiguring, the findings also point to configurations where not all DC dimensions are present.

Improving operational capabilities does not necessarily imply a simultaneous presence of all three DC dimensions. Especially in the growth stage, managers that face resources shortage may only focus on sensing and seizing dimensions when developing marketing capabilities.

This research focuses on configurations of DC dimensions (instead of configurations of different types of DCs) that generate diverse marketing and technological capabilities development paths. The authors provide several equifinal configurations of DC dimensions that lead to operational marketing and technological capabilities. This study contributes to disentangling DCs and their dimensions across different lifecycle stages.

Strategy scholars have theorized that a firm's strategic leaders play an important role in firm dynamic capabilities (DCs). However, little research to date has studied how leaders shape the development of DCs. This inductive theory-building study sheds new light on the multilevel architecture of DCs by uncovering that the three core DCs – sensing, seizing, and reconfiguring – operate through distinct individual, group, and organizational processes. Further, the role of strategic leadership is critical as organizational processes create DCs only when they are purposefully designed by firms' strategic leaders to enable change and opportunity pursuit. Whether strategic leaders design processes for change and opportunity pursuit, in turn, reflects the extent to which they view change as positive and desirable. Our insights about the role of strategic leaders' positive attitude toward change as an important aspect of firm DCs uncover new interconnections between strategic leadership, organizational design, and the micro-foundations of DCs. Collectively our findings about the role of positive attitude toward change, the purposeful design of processes for change, and the varying manifestations of these processes at different levels of analysis reveal the coupling of strategic and organizational processes in enabling strategic dynamism and change.

Using dynamic capabilities (DCs) theory, the authors assess whether micro, small and medium-sized enterprises (MSMEs) can leverage DCs to improve operational capabilities (OCs) during the COVID-19 pandemic. The authors also identify whether organizational learning (OL) affects the relationship between DCs and OCs.

The authors test these propositions on a sample of 419 MSMEs from Australia and New Zealand.

DCs have no direct effect on OCs, technological or marketing capabilities (TCs or MCs). OL moderates the effect of DCs on both TCs and MCs.

The study assesses only MCs and TCs as OCs and does not explicitly measure pandemic impacts on organizations. However, the results illustrate the importance of OL during crises for recovery purposes.

Managers can use the findings to improve structure, processes and knowledge management emanating from MCs and TCs within organizations impacted by the COVID-19 pandemic.

The authors use a multi-dimensional measure of OL and show that during the pandemic, OL is a critical factor that allows organizations to transform the benefits conferred by DCs into MCs and TCs.