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Today, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is embryonic. Using evidence, the purpose of this paper is to argue that asset management in the context of Big Data is punctuated by a variety of vulnerabilities that can only be estimated when characteristics of such assets like being intangible are adequately accounted for.

Evidence for the study has been drawn from interviews of leaders of digital transformation projects in three organisations that are within the insurance industry, natural gas and oil, and manufacturing industries.

By examining the extant literature, the authors traced the type of influence that Big Data has over asset management within organisations. In a context defined by variability and volume of data, it is unlikely that the authors will be going back to restricting data flows. The focus now for asset managing organisations would be to improve semantic processors to deal with the vast array of data in variable formats.

Data used as evidence for the study are based on interviews, as well as desk research. The use of real-time data along with the use of quantitative analysis could lead to insights that have hitherto eluded the research community.

There is a serious dearth of the research in the context of innovative leadership in dealing with a threatened asset management space. Interpreting creative initiatives to deal with a variety of risks to data assets has clear value for a variety of audiences.

Examination of the challenges of dependence on the private sector of public‐sector projects is the central concern of the paper. With ongoing research suggesting that dependence on the private sector is inevitable, this paper tries to assess whether the dependence is an imperative or a yardstick for gauging efficiency.

A literature review, consideration of flagship projects as well as trends in implementation of ICTs in government have been central to the development of analysis for the paper.

The research found that when the public sector is interested in developing applications that require acceptance among citizens, then initial support of the private sector is a necessity. Countries that have depended on strict government control on delivery of internet‐based services are finding out that a degree of independence at the point of delivery tends to be more effective. It is only after a passage of time post rolling out of web‐based delivery of services that measurement of service quality can be deemed to be a measure of efficiency.

This research was desk‐based and reliant on international flagship initiatives. There is a wide range of resource endowments between developed and developing nations. This research showed that developed nations are more appropriate for study of efficiency through private‐sector involvement, and private‐sector engagement in web‐based government initiatives is an imperative in the case of developing nations.

Government agencies ought to be able to think more expansively when they are developing applications for citizens, as there are a variety of private sector solutions that can be used.

The theme itself is new in a context where new ways of running government projects are constantly being revisited.

The purpose of this study is to explore national cultural influences on knowledge management (KM) practices within Chinese manufacturing enterprises.

A qualitative case study in four steps was conducted within a Chinese mobile phone company (referred to as Lotus). Data collection was based on observations and in‐depth interviews.

It was discovered that employees in Chinese manufacturing enterprises like to keep their knowledge implicit and are willing to share it informally. A series of factors derived from Chinese culture such as hierarchy consciousness, fear of losing face, a sense of modesty, competitiveness and a preference for face‐to‐face communication, can act as barriers to KM initiatives within Chinese manufacturing organisations. Trust in intra‐personal relationships among employees can partly mitigate the impact of the above cultural characteristics. However, at a macro organisational level there is still need to share tacit knowledge using explicit/formal KM approaches.

Though knowledge mapping is recommended as a feasible means to promote formal knowledge sharing within Chinese organisations, evidence showing the efficacy of such a method are only grounded in related literature here. Therefore, practical experimental evidence should be collected in future research.

KM strategies proposed for an organisation based in China should take revealed cultural influences into account.

Few studies have explicitly concentrated on KM within Chinese organisations. The present study provides useful information for academics interested in cultural issues in KM and impartial advice for knowledge managers within Chinese enterprises.

The purpose of this paper is to stand back from the debate of success and failure and develop an interpretive account based on narratives of major actors to enable project managers with a rich understanding of a complex organisation.

Actor network theory (ANT) was the method that was applied to both frame and sum narratives that were gathered from the six subjects along with anecdotal evidence and confidential documents used for this research. Findings – Success is based on the perception of both actors as well as the principal audience of the Commonwealth Games (CWG). Second information systems (IS) success is uniquely associated to an event like the CWG.

Most of the data used for the research was after the conclusion of the games. Therefore usefulness of interpretation may have a time dimension. Probably if the subjects had included spectators and other project managers during the games, the quality of conclusions could have been further enriched.

Project managers of future events may be able to internalise the role of co‐ordination and agreement that is necessary among different actors to achieve success.

Originality of present paper stems from its “unusual” identification of success – as it has attempted to outline distinctions between certainty of success and anything contrary to success. Project managers, organisers and researchers of IS projects are likely to find value in the paper in being able to appreciate the evolutionary nature of IS success.

This paper aims to explore the entrepreneurial journey of select women entrepreneurs from South India to provide qualitative insights into the factors influencing their career choice (to become and continue as an entrepreneur) and to identify the drivers of their growth and well-being.

Semi-structured interviews were conducted to gather data from 35 women entrepreneurs in the micro, small and medium enterprises sectors of Tamil Nadu, India. Data were content analyzed using NVivo 12.

Qualitative content analysis identified three broad themes and several sub-themes to suggest a conceptual framework reflecting the possible relationships among them. Women entrepreneurs’ career choice, the growth of their ventures and their well-being were found to be significantly driven by a blend of personal attributes, strong family support and institutional support.

The findings will help the government to provide appropriate institutional support with customized initiatives and incentives to encourage women-owned tiny and small businesses to grow faster. Appropriate personality development programs and skills training will aid their growth.

This study contributes to the entrepreneurship literature by providing real-life insights from women entrepreneurs from an emerging economy context, especially from Tamil Nadu, which has the highest number of women entrepreneurs in India.

The purpose of this paper is to propose an integrated gray-decision making trial and evaluation laboratory (Grey-DEMATEL) framework to evaluate the ICT adoption barriers in manufacturing small and medium enterprises (MSMEs) running in developing countries. The proposed model is also tested for Indian MSMEs.

The model consists of 16 potential ICT adoption barriers selected from existing literature and refined based on discussion with domain experts. While DEMATEL analyses causal relationship and prioritizes them, Grey approach tackles individual biases and data insufficiency.

The authors conclude that lack of awareness about benchmarking and lack of management vision are the most critical ICT adoption barriers in the case of Indian MSMEs.

Outcomes of the present research are based on the experts’ inputs which are subject to the biases related to their experience and exposure. In India practices adopted by SMEs have geographical and political influence that is also neglected.

This study provides a model consisting of 16 ICT adoption barriers for MSMEs in developing country and a framework to analyze causal relationships among the barriers with the flexibility of data input from their own domain experts. The framework is also capable of dealing with expert biases and data insufficiency.

The apparel industry of Bangladesh is rethinking lean manufacturing (LM) deployment because of the challenges imposed by the COVID-19 pandemic. Due to COVID-19, LM implementation in the apparel industry has become more difficult. Thus, the purpose of this study is to explore the barriers to implementing LM practices in the apparel industry of Bangladesh in the context of COVID-19 pandemic.

For evaluating the barriers, an integrated framework that combines the Delphi method and fuzzy total interpretive structural modeling (TISM) has been designed. The application of fuzzy TISM has resulted in a structured hierarchical relationship model of the barriers with driving and driven power.

The findings reveal that “lack of synchronization of lean planning with strategic planning”, “lack of proper understanding of lean concept” and “low priority from the top management” are the three top most important barriers of LM implementation in apparel industry.

These findings will help the apparel industry to formulate strategy for implementing the LM practices successfully. The proposed model is expected to contribute to the sustainable development goals (SDGs) such as Responsible Consumption and Production (SDG 12); Decent Work and Economic Growth (SDG 8); Industry, Innovation and Infrastructure (SDG 9) via resilient strategies.

This study is one of few initial efforts to investigate LM implementation barriers during the COVID-19 epidemic in a real-world setting.

The purpose of this study is to examine how business founders influence the performance of family firms in developing countries in Asia.

The pooled ordinary least squares regression is used on a sample of 134 public listed family firms from four developing countries in Asia during the period 2004–2014. This study also conducts sub-period analyses where the study period is divided into three sub-periods, i.e. before, during and after the global financial crisis (GFC).

This study finds that founder-led family firms outperform family firms led by nonfounders for the full study period. The results for the sub-period analyses also show that founder-led family firms outperform nonfounder-led family firms for the pre-crisis and during crisis periods. Finally, this study finds no evidence supporting the superior performance of founder-led family firms post-GFC.

Because family firm is one of the most fundamental forms of business organization in the world, policymakers have great concerns about how business founders influence the performance of these firms. Nonetheless, the existing research on family firms is chiefly concentrated on developed countries but there is a paucity of studies being conducted in the context of developing countries. Moreover, previous research has only considered the performance of these firms during normal or turbulent times but no prior studies have compared the firm performance during normal, turbulent and recovery periods. It is the aim of this paper to address these research gaps by using a new and more recent set of data.