Search results

Chinese firms are winning market share from foreign multinational enterprises in domestic markets. The international business literature suggests that this is happening because these firms are developing non-traditional firm-specific advantages (FSAs). Strategic factor market (SFM) theory provides a good basis for explaining how this is happening. However, it is underdeveloped in terms of analysing unique resources and unique access to those resources by Chinese firms in their domestic markets. This paper aims to develop a framework to understand how Chinese firms have developed non-traditional FSAs.

The case study method is adopted to explore how Chinese firms develop non-traditional FSAs. Specifically, the authors compare paired case studies of a Chinese firm and a foreign multinational in each of two industries.

The authors find that Chinese firms have developed non-traditional FSAs because of more relevant experience, better adapted strategies and privileged relationships. This has enabled Chinese firms to develop non-traditional FSAs.

The authors propose a framework that conceptualises non-traditional FSA development in Chinese firms as a product of superior access to unique and valuable resources in their domestic SFMs.

The purpose of this paper is three-fold. Firstly, through selected case studies, to provide an overview of how non-traditional data from digital public services were used as a source of knowledge for policymaking. Secondly, to argue for a design for policy approach to support the successful integration of non-traditional data into policymaking practice, thus supporting data-driven innovation for policymaking. Thirdly, to encourage a vision of the relation between data-driven innovation and public policy that considers policymaking outside the authoritative instrumental logic perspective.

A qualitative small-N case study analysis based on desk research data was developed to provide an overview of how data-centric public services could become a source of knowledge for policymaking. The analysis was based on an original theoretical-conceptual framework that merges the policy cycle model and the policy capacity framework.

This paper identifies three potential areas of contribution of a design for policy approach in a scenario of data-driven innovation for policymaking practice: the development of sensemaking and prefiguring activities to shape a shared rationale behind intra-/inter-organisational data sharing and data collaboratives; the realisation of collaborative experimentations for enhancing the systemic policy analytical capacity of a governing body, e.g. by integrating non-traditional data into new and trusted indicators for policy evaluation; and service design as approach for data-centric public services that connects policy decisions to the socio-technical context in which data are collected.

The small-N sample (four cases) selected is not representative of a broader population but isolates exemplary initiatives. Moreover, the analysis was based on secondary sources, limiting the assessment quality of the real use of non-traditional data for policymaking. This level of empirical understanding is considered sufficient for an explorative analysis that supports the original perspective proposed here. Future research will need to collect primary data about the potential and dynamics of how data from data-centric public services can inform policymaking and substantiate the proposed areas of a design for policy contribution with practical experimentations and cases.

This paper proposes a convergence, yet largely underexplored, between the two emerging perspectives on innovation in policymaking: data for policy and design for policy. This convergence helps to address the designing of data-driven innovations for policymaking, while considering pragmatic indications of socially acceptable practices in this space for practitioners.

This chapter wants to understand under which circumstances and conditions non-traditional aids are effective in the strategic process. This study builds an agent-based computational simulation model – the S-uFUNK 2.1.0 – to explore the research question. The model features a group of managers that seeks to interpret environmental cues using both traditional and non-traditional tools. When interpretations converge, the group then settles on different focus areas to define a business strategy for their organization. The process is set in a way such that 11 parameters can be manipulated to explore the different conditions under which non-traditional aids are of use. Results suggest that non-traditional aids differ from traditional aids only in limited circumstances and that social dynamics and dispositions within the group are crucial. In general, the simulation helps us reflect on the way in which we consider traditional aids to strategy. In fact, if they are no different than non-traditional aids, their effectiveness is directly challenged.

This study draws on the author's experiences building rapport through online chat for data collection for the author's doctoral dissertation. The author contacted ten Korean women via online chat to recruit and faced the most challenging situation; building rapport. As the Millennial generation is known as being tech-savvy or digital natives, the author actively used emoticons (pictorial representations of facial expressions using characters) with potential interviewees and completed ten interviews. Therefore, this paper offers a new qualitative interviewing method in feminist research.

The paper briefly reviews the works of literature on interviewing women on sensitive topics and building rapport before the interview. Then, the author introduced using emoticons to create rapport during the data collection process and how a non-traditional approach positively impacts the interviewer and interviewee before, during and even after the interview.

Women participants' responses and behaviors differed after building a rapport through an online chat. They were willing to share their personal stories and memories with the interviewer even though the interviewer did not ask.

This study provides a stepping stone for developing an account of the new qualitative methodological approach, specifically feminist qualitative research.

Few studies have described how qualitative researchers create a rapport in virtual space, specifically using emoticons. Also, this study suggests a new methodological approach since nonverbal communication in online chat is inevitable when interviewing people in qualitative research.

Set within the context of International Financial Services (IFS), this research aims to considers the demographic profile of IFS apprenticeship candidates in relation to gender equality and social mobility in Ireland. This study also offers valuable insights as to the gendered nature of these “new” apprenticeships and examine whether these programmes provide opportunities for social mobility.

Implementing a quantitative approach, underpinned by a positivist stance, this study analyses Irish national apprenticeship data relating to IFS programmes (n = 1118). Non-parametric tests were applied in the analysis of the gender dimension, while to analyse social mobility, the socio-economic status and spatial profile of candidates were compiled and analysed using the Pobal HP Deprivation Index (SA).

The findings revealed more women are undertaking non-traditional apprenticeship programmes as compared with traditional craft apprenticeships. Within the IFS context, while female participation was seen to be growing, gender divergence was observed in terms of programme level, with a greater number of men, as compared with women, engaging in higher-level degree apprenticeship programmes. The findings also show that IFS apprentices are primarily from socio-economic areas that are above average. This trend indicates a distinctive candidate who is more aligned with the sectoral profile of IFS than that of traditional apprenticeship programmes. Such findings reveal that the “widening participation” aim of IFS apprenticeships is not yet fully realised with issues of gender inequality and social mobility persistent within the wider IFS sector.

This study provides an important dimension to both academic and practitioner literature concerning apprenticeships. To date, there has been a proliferation of publications concerning the beneficial impact of skills and vocational-led apprenticeships. However, limited attention has been directed to non-traditional apprenticeships and even less still within the setting of IFS. This research initiates the process of addressing that gap within an Irish context. This study also adds to the existing apprenticeship discourse regarding issues of gender and social mobility by examining the gendered nature of IFS apprenticeships and well as assessing whether these apprenticeships aid social mobility.

This study aims to explore the determinants (bank-specific, industry-specific and macroeconomic) of income diversification across interest income and non-interest income as well as for non-traditional income sources (non-interest income) from 2004–2005 to 2021–2022.

An unbalanced data set comprising 110 Indian commercial banks with 1480 observations is sampled in this study. Because of the bounded nature of the dependent variables (proxies of income diversification), the panel Tobit regression model is used.

The findings reveal that income diversification is positively influenced by bank size, technological advancements, cost–income ratio, return on assets, market competition and inflation in the economy. However, the decision to diversify income sources is adversely impacted by the capital ratio, GDP and financial intermediation ratio. Moreover, factors such as asset quality (loan loss provisions) and liquidity ratio do not directly influence the diversification strategies in the Indian banking industry.

The present study uses an extensive set of variables to provide insights into key factors for bank managers, regulators and policymakers to consider before developing diversification strategies.

To the best of the authors’ knowledge, this is the first study to examine the various bank-specific and macroeconomic determinants that affect income diversification in the Indian banking sector. The current study also investigates new variables such as technological advancements and a market concentration index for measuring competition, which have not been investigated in existing literature concerning bank income diversification in the Indian context.

Although universities have been decentralized for academic freedom and autonomy, resources are being increasingly centralized, and the role of central administration is growing for efficiency and excellence reasons. At the same time, a division of labor is progressing by assigning specific tasks to professionals. The professionals are also centrally managed. Educational development was introduced by central administration to cope with the massification and quality assurance of higher education. Although it played a great part in promoting educational reform, it also suffered from the rejection of academics and the lack of methodology. Unlike ITC service and student service, educational development touches the autonomy of academics and is always torn between the central administration and academics. This chapter analyzes the structural and cultural difficulty of educational development in Japan by tracing its historical development and by comparing to other countries.

This study aims to investigate the effect of income and asset diversification on earnings management using discretionary loan loss provisions (LLP) in banks, and the role of risk level in mediating this effect.

A sample of banks operating in Middle East and North Africa countries was used to test the mediation model of Baron and Kenny (1986) with different measures of diversification and risk.

The results show that bank income and asset diversification have unique and combined effects on earnings management. The results also support the idea that a risk-mediating effect contributes to explaining this relationship among banks. Specifically, bank diversification strategies positively affect LLP-based earnings management by increasing bank risk. This result is relevant for conventional banks. However, only a direct and positive effect of diversification strategies on LLP-based earnings management can be observed in Islamic banks, and the indirect effect is not supported.

This study extends previous research by examining the unique and combined effects of income and asset diversification strategies on earnings management in the banking sector. Specifically, it provides new evidence that diversification strategies increase LLP-based earnings management, both directly and indirectly, through bank risk.

This paper examines the circumstantial state of mediated work to develop a conceptual framework exemplifying the determinants of voice of workers in triangular employment relationships. These workers are in work context involving two or more firms – agency/platform and clients/client firms.

Paralleling employee voice research in the triangular employment relationship context, the authors theorised the influencing forces at four levels to propose 12 distinct antecedents of triangular workers' voice. External level (2) – legal employer ambiguity and legal regulation and protection; employment context level (3) – availability and presence, assignment duration and autonomy; firm level (3) – institutional complexity, cost and control and governance structure conflicts; individual level (4) – perceived relative equity, voice skill, self-identity and transition opportunity.

The triangular workers' voice determinants framework provides a comprehensive outlook on how the external, employment context, firm and individual forces influence voice of workers in triangular employment relationships.

Emanating from the framework are propositions that can be empirically tested for validation. Hence, as with conceptual papers, this paper is limited by non-empirical testing.

Managers of workers in these employment relationships should be cognizant of the different levels of forces that can influence their voice.

This paper contributes to the employee voice literature by presenting a four-level framework that demonstrate a holistic view of how triangular workers' voice is influenced.

This study aims to examine the effect of entrepreneurial intention and attitude towards knowledge sharing on new business creation by comparing two generations, Y generation (millennials) and Z generation (post-millennial). In addition, the current study uses a social cognitive theory as a point of departure to test the research hypotheses.

This study deploys a quantitative approach (hypothetic-deductive approach) by surveying 300 respondents representing the two Indonesian generations. The questionnaire consisting of demographic items (age, education, etc.) and variables was the primary research instrument. This study used regression analysis, a Wald test for examining the proposed hypotheses and a t-test to provide a deeper analysis of the findings.

Findings from the current study show that Gen Y is still seeking a balance for their learning sources by involving in their social environments as well as exploring the digital world. In contrast, Gen Z is much more dominant in the independence to learn things that interest them. They have less dependency on social patrons but prioritise themselves as the leading model.

The findings of this study provide practical implications for higher education institutions in the development of entrepreneurship education to achieve learning effectiveness.

This study aims to contribute by providing empirical evidence in the effect of entrepreneurial orientation and attitude towards knowledge sharing on new venture creation with particular reference to Gen Y and Gen Z, suggested by previous studies. Although Gen Y and Gen Z are digital natives, this study provides insight into a shift in the characteristic of two generations, as also found in comparison to previous generations, such as Baby-Boomer vs Gen X and Gen X vs Gen Y. This study proclaims the need to adjust organisational theories to enable them to explain the shifting phenomena at the micro and macro level for every generation. Exploratory research to better understand the characteristics of a generation in other settings is a crucial proposal proposed by this study.