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The purpose of this study is to review the literature of enterprise capability, which comprises the three dimensions of operational, dynamic and improvisational capabilities, and analyze their differences. Through this review, the authors aim to enrich the enterprise capability theory and provide some directions for entrepreneurial practice in the face of volatility, uncertainty, complexity and ambiguity (VUCA).

The study is based on a systematic review of the literature on enterprise capability as it relates to entrepreneurial firms, following the content analysis approach as described in Gaur and Kumar (2018).

The authors’ conceptual model compares the capability levels of startups and mature enterprises and presents a model for the dynamic evolution of the capability levels of enterprises. In doing so, this study enriches the enterprise capability theory and lays the theoretical foundation for the follow-up empirical research. The authors also provide guidance for entrepreneurial practice in the face of VUCA.

In recent years, scholars have begun to explore the issue of enterprise capability in the field of entrepreneurship. However, because of different research perspectives, one lacks clarity on the concept and dimensions of enterprise capability. The capability theory is relatively weak in guiding the practice of enterprises; enterprises lack effective response strategies in a changing environment, and the failure rate of startups is high. This study aims to develop a deeper understanding of enterprise capability.

The purpose of this study is to investigate how digital platforms capability, improvisational capability and organizational readiness directly affect innovation performance. This study also explores how organizational readiness acts as mediator.

This empirical study is based on quantitative research design. Data were collected from 647 managers of small and medium enterprises (SMEs) working in Pakistan. Correlations and regression techniques were used for analyses. The Preacher and Hayes technique, the Sobel test and Bootstrap techniques were used to test mediation effect.

The results reveal a significant and positive relationship of digital platforms capability, improvisational capability and organizational readiness with innovation performance. Organizational readiness fully mediates the relationships between digital platforms capability and innovation performance link as well as between improvisational capability and innovation performance link.

In the age of digital economy the achievement of innovation performance is very important for SMEs. Businesses are shifting from traditional operational activities to digitalization. This study is imperative to offer new realm of modern technologies by exploring the role of digital platform capability, improvisational capability and organizational readiness for achieving innovation performance in digital economy.

This study develops the idea that resource orchestration (RO) of ISS-enabled strategy-making (ISS-SM) can influence dynamic and improvisational capabilities in innovation resulting in corporate performance (CP) gains under a hostile environment.

The structural equation modeling is applied to the data collected from 551 Brazilian firms.

The results suggest that ISS-SM facilitates dynamic and improvisational capabilities in innovation, consequently promoting CP. The research also showed that, under conditions of high environmental hostility, the impact of improvisational capabilities in innovation on CP is significantly amplified. Finally, in the specific case of high hostility, ISS-SM is especially important in enabling organizational capabilities on CP, for digital mastery firms, large firms in the manufacturing and services sectors.

The findings provide insights on how RO of ISS and resource management action enable strategy-making to leverage innovation and corporate performance during an uncertain environment.

This study developed an original contribution to resource orchestration, information systems strategies, and strategy-making literature through developing a novel construct of ISS-enabled strategy-making to enhance proximate and distal outcomes under a hostile environment.

Short-term problem solving during production launch may result in extended lead times and increased overall costs of new product development, thereby reducing the overall profitability of a new product. While the previous literature suggests formalized procedures and systematic problem solving approaches, empirical analyses indicate improvised, non-systematic, and ad hoc responses actually being used in firms’ real world problem solving processes. The purpose of this paper is to explain the role of such non-systematic approaches for the efficiency and effectiveness of problem solving processes during production launch.

The paper empirically explores the impact of improvisational problem-solving behavior on a firm's production launch efficiency and on the success of new products. Moreover, the paper investigates the moderating role of technology familiarity, project complexity, and the number of occurring problems during production launch.

The paper finds evidence for a positive curvilinear effect of improvisational problem-solving behavior on new product success and production launch efficiency. Additionally, the paper finds that improvisation is especially reasonable in complex and familiar projects or in the case of many unplanned changes during production launch.

The study provides evidence for the relevance of routinized and improvisational behavior during production launch.

Improvisational behavior decreases the performance of the production launch and the financial performance of a new product in the case of frequent product changes or complex projects.

For the first time behavioral theory is applied to the phenomenon of production launch and problem solving.

A total of 210 valid paper-and-pencil questionnaires were received from fast-moving consumer goods/small and medium-sized enterprises (FMCG-SMEs) to empirically test the proposed model. Structural equation modelling approach was performed to assess the model fit, measurement and structural models for exogenous and endogenous constructs, and test of nonlinearity.

In the hyper-competitive world, while the essence of strategy making is often focussed on environmental and market-based analysis or the structure of the market, the important role of resources and capabilities in determining firm performance and overall strategy formulation within SMEs begs attention. Grounded in the resource-based view (RBV) of the firm, organisational improvisation theory and componential theory of creativity, the purpose of this research is to look beyond the determinants of creativity, innovation and proposes a theoretical model investigating organisations formative performance in strategy formulation.

The results imply that intrinsic motivation, extrinsic motivation, creativity-related processes and expertise as the firm's capabilities positively influence improvisational creativity, and creativity-related processes and expertise also positively impact on compositional creativity. Surprisingly, intrinsic and extrinsic motivations are not conducive to compositional creativity, and the relationships between extrinsic motivation and improvisational creativity as well as improvisational creativity and performance are nonlinear. Furthermore, both improvisational creativity and compositional creativity are found to be predictors of innovation in FMCG-SMEs.

Thus, organisations and specifically FMCG-SMEs can increase the level of improvisational creativity if they formulate strategies to motivate employees both intrinsically and extrinsically, and further, they can boost the level of compositional creativity in their companies through hiring and nurturing experts.

Less attention has been paid to motivation, creativity, innovation, performance and strategy linkages as the prominent source of competitive advantages among FMCG-SMEs, especially in developing countries. Theoretically, through introducing extrinsic motivation as the predictors of improvisational creativity and innovation, from strategic management perspectives, the empirical findings of this research illustrate that resources and capabilities (RBV) lead to improved competitive performance within the FMCG-SMEs. This study also provides empirical evidence for the nonlinear nature of the relationship between motivation and creativity.

The purpose of this paper is to shed light on the emerging concept of autotelic capabilities and their impact on operational capabilities, and in particular, technological capabilities.

Autotelic capabilities and their dimensions are discussed since they constitute a novel framework for new venturing in knowledge‐intensive, low‐tech industries. Links among the dimensions of autotelic capabilities and technological capabilities formation are explored, focusing on production technologies.

The suggested links among autotelic and technological capabilities highlight the need to go beyond individual‐centered explanations of entrepreneurial activities towards the formation of integrated capabilities. They strengthen the assumption that autotelic capabilities exist as higher‐order capabilities in low‐tech but knowledge‐intensive venturing, are very specific, can be managed, and endue new ventures with technological capabilities.

As it is only a theoretical approach, the hypotheses’ validity needs empirical evaluation and further theory building and development. Research could include the rest of operational capabilities, issues of causalities and the empirical exploration of the concept’s generalizability across a variety of contexts.

Entrepreneurial and/or managerial teams should realize the importance of possessing and further cultivating autotelic capabilities in recognizing technological patterns connecting seemingly unrelated pieces of science and technologies. Intentional and organized cultivation of autotelic capabilities supports competitive new venture creation and sustainable development of both operational and dynamic capabilities.

The paper forms a part of the pioneering autotelic capabilities perspective, developed by the authors, which offers an alternative approach to much conventional entrepreneurial thinking. It is an original contribution to relevant literature, with both theoretical and practical value.

Data transformation has prompted enterprises to rethink their strategic development. Scholars have frequently acknowledged the vast potential value of supply chain data and realised that simply owning data resources cannot guarantee excellent innovation performance (IP). Therefore, this study focussed on the mediating and moderating issues between data-driven supply chain orientation (DDSCO) and IP. More specifically, the purpose was to explore (1) whether DDSCO promotes enterprise innovation through dynamic and improvisational capabilities and (2) how information complexity (INC) plays a moderating role between capabilities and performance.

An empirical study was performed using the results of a questionnaire survey, and a literature review was used to build the premises of this study. A sample was conducted on 296 Chinese enterprises, and the data collected were used to test the hypothesis by successive regression.

This research has implications for the theoretical development of DDSCO, as well as the dynamic capabilities (DC) and improvisation capabilities (IC) in innovation strategic literature. The empirical results show that DDSCO has a direct, positive impact on both DC and IC, which thus positively impact IP. Meanwhile, IC has a negative moderating effect on the path joining DC and IP. Conversely, IC has a positive moderating effect on the path joining IC and IP.

Although this study has limitations, it also creates opportunities for future research. The survey comes from different industries, so the possibility of unique influences within industries cannot be ruled out. Second, the authors' survey is based on cross-sectional data, which allow for more comprehensive data verification in the future. Third, this study also provides opportunities for future research, because it proves that DC and IC, as partial mediators of DDSCO and IP, can mine other paths of the data-driven supply chain in IP. For example, the perspective of the relationship between supply chain members, knowledge perspective, etc.

The research findings offer a novel perspective for enterprise managers. First, enterprises can leverage supply chain data to gain competitive advantages in innovation. Second, it is imperative for enterprises to acknowledge the significance of developing dynamic and IC. This also requires enterprises to acknowledge innovations in DDSCO necessitate a focus on dynamic and IC. Third, it is recommended that managers take into account both sides of IC and encourage enterprises to prioritise the utilisation of IC.

Empirical research results revealed how DDSCO improves IP and is an extension of digital transformation in the supply chain field, providing new opportunities and challenges for enterprise innovation. It can also expand the enterprise's understanding of DDSCO. Second, based on resource-based theory, it is possible to develop and test theoretical arguments regarding the importance of dynamic and IC as intermediaries in the DDSCO-IP. Third, the authors conducted simulations of highly dynamic data environments to develop and test theoretical arguments about the importance of IC as a moderator of capabilities-performance relationships.

This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers of supply chain resilience and responsiveness, leading to improved performance.

The structural equation modeling technique was employed for analyzing the proposed associations using survey data from 206 manufacturers operating during the COVID-19 pandemic in a developing country, Pakistan.

Key findings show how improvisation and anticipation act distinctly yet jointly to facilitate supply chain resilience and responsiveness during the COVID-19 pandemic. Also, data analytics capability positively affects anticipation and improvisation, which mediate the effect of data analytics on supply chain resilience and responsiveness.

The findings contribute to the theoretical and empirical understanding of the existing literature, suggesting that a combination of improvisation, anticipation and data analytics capabilities is highly imperative for enhancing supply chain resilience and responsiveness in novel and unexpected disruptions.

This is the first study to examine the impact of data analytics on improvisation and anticipation and the latter as complementary capabilities to enhance supply chain resilience and responsiveness. The empirical investigation explores the interplay among data analytics, improvisation, and anticipation capabilities for enhancing supply chain resilience, responsiveness, and performance during the unforeseen and novel disruptions, such as brought to bear by the COVID-19 pandemic.

The purpose of this paper is to present a conceptual analysis of the theoretical and managerial bases and objectives of predictive business. Predictive business refers to operational decision‐making and the development of business processes on the basis of business event analysis. It supports the early recognition of business opportunities and threats, better customer intimacy and agile reaction to changes in business environment. An underlying rationale for predictive business is the attainment of competitive advantage through better management of information and knowledge.

The approach to this article is conceptual and theoretical. The literature‐based discussion and analysis combines the perspectives of business performance management, business intelligence, and knowledge management to provide a new model of thinking and operation.

For a company predictive business is simultaneously a practical challenge and an epistemic one. It is a practical challenge because predictive business presupposes a change in the company's modes of operation. It is also an epistemic challenge, since it concerns the company's ability to find appropriate balance between knowledge exploitation and knowledge exploration.

Further research should be carried out on the functionality of practical applications as well as the attitudinal and technical preparedness of companies to adopt a new mode of operation. As a subject of investigation, the world of business events offer interesting methodological possibilities, since the basis of the work is the gathering and analysis of large quantities of information on operational activities.

There has been little research concerning business events in knowledge management context. This article presents a theoretically founded basis for predictive business, combining the concept of analysing business events with previous research in the field of knowledge management.

Drawing on the resource-based theory and dynamic capability view, this paper aims to examine the mechanisms by which business analytics (BA) capabilities (i.e. the effective use of data aggregation, analytics and data interpretation tools) in healthcare units indirectly influence decision-making effectiveness through the mediating role of knowledge absorptive capacity.

Using a survey method, this study collected data from the hospitals in Taiwan. Of the 155 responses received, three were incomplete, giving a 35.84 per cent response rate with 152 valid data points. Structural equation modeling was used to test the hypotheses.

This study conceptualizes, operationalizes and measures the BA capability as a multi-dimensional construct that is formed by capturing the functionalities of BA systems in health care, leading to the conclusion that healthcare units are likely to obtain valuable knowledge through using the data analysis and interpretation tools effectively. The effective use of data analysis and interpretation tools in healthcare units indirectly influence decision-making effectiveness, an impact that is mediated by absorptive capacity.

This study adds values to the literature by conceptualizing BA capabilities in healthcare and demonstrating how knowledge absorption matters when implementing BA to the decision-making process. The mediating role of absorptive capacity not only provides a mechanism by which BA can contribute to decision-making practices but also offers a new solution to the puzzle of the IT productivity paradox in healthcare settings.