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Informed trading has a strong liaison with the options market, as the risk in the options market is limited to the premium, leverage is high and the transaction cost is less. The purpose of this paper is to analyze the effect of options availability on the informed trading, occurring well before the merger and acquisition (M&A) announcements along with the crisis period and regulation effect.

The study employs event study methodology for 864 M&A announcements done by Indian acquiring companies in order to compute the abnormal returns and also examine the implied volatility and volume of call, putting options for the robustness check.

The results indicate that option listing status increases the possibility and magnitude of informed trading in the M&As, which gets more/less pronounced during and immediately after the crisis period when new regulatory reforms are introduced.

This study contributes to the efficient market theory and affirms that stock market of acquiring companies in India follow a semi-strong form of market efficiency around M&A announcements in the presence of options market.

This research explores perceptions of knowledge management processes held by managers and employees in a service industry. To date, empirical research on knowledge management in the service industry is sparse. This research seeks to examine absorptive capacity and its four capabilities of acquisition, assimilation, transformation and exploitation and their impact on effective knowledge management. All of these capabilities are strategies that enable external knowledge to be recognized, imported and integrated into, and further developed within the organization effectively. The research tests the relationships between absorptive capacity and effective knowledge management through analysis of quantitative data (n = 549) drawn from managers and employees in 35 residential aged care organizations in Western Australia. Responses were analysed using Partial Least Square-based Structural Equation Modelling. Additional analysis was conducted to assess if the job role (of manager or employee) and three industry context variables of profit motive, size of business and length of time the organization has been in business, impacted on the hypothesized relationships.

Structural model analysis examines the relationships between variables as hypothesized in the research framework. Analysis found that absorptive capacity and the four capabilities correlated significantly with effective knowledge management, with absorptive capacity explaining 56% of the total variability for effective knowledge management. Findings from this research also show that absorptive capacity and the four capabilities provide a useful framework for examining knowledge management in the service industry. Additionally, there were no significant differences in the perceptions held between managers and employees, nor between respondents in for-profit and not-for-profit organizations. Furthermore, the size of the organization and length of time the organization has been in business did not impact on absorptive capacity, the four capabilities and effective knowledge management.

The research considers implications for business in light of these findings. The role of managers in providing leadership across the knowledge management process was confirmed, as well as the importance of guiding routines and knowledge sharing throughout the organization. Further, the results indicate that within the participating organizations there are discernible differences in the way that some organizations manage their knowledge, compared to others. To achieve effective knowledge management, managers need to provide a supportive workplace culture, facilitate strong employee relationships, encourage employees to seek out new knowledge, continually engage in two-way communication with employees and provide up-to-date policies and procedures that guide employees in doing their work. The implementation of knowledge management strategies has also been shown in this research to enhance the delivery and quality of residential aged care.

This study aims to investigate how Snowden’s revelations are viewed by young people in the People’s Republic of China (PRC) and Taiwan through questionnaire surveys of and follow-up interviews with university students in the two countries, taking into account the histories and current status of state surveillance in these countries and the current complicated and delicate cross-strait relationships.

Questionnaire surveys of 315 PRC and 111 Taiwanese university students (a majority studying in those places but a few studying abroad) and semi-structured follow-up interviews with 16 master’s course students from the PRC and one from Taiwan (all studying at Meiji University in Japan) were conducted, in addition to reviews of the literature on privacy and state surveillance in the PRC and Taiwan. The outcomes of the survey were statistically analysed and qualitative analyses of the interview results were also performed.

Youngsters living in the PRC had greater interest in and more knowledge about Snowden’s revelations than those living in Taiwan, and the revelations were positively evaluated in both countries as serving public interest. However, PRC students indicated they were less likely to emulate Snowden than those from Taiwan did.

This study is the first attempt to investigate the social impact of Snowden’s revelations on PRC and Taiwanese youngsters’ attitudes towards privacy and state surveillance as part of cross-cultural analyses between eight countries.

The purpose of this paper is to discuss the rhetorical framings that can be discerned by applying discourse analysis to a publicly available transcript of a Public Accounts Committee (PAC) inquiry in the UK.

In particular, the authors examine the discursive tactics used during the 2013 investigation by the House of Commons PAC, “Tax Avoidance: The Role of Large Accountancy Firms”.

Two opposing rhetorical framings of “tax avoidance” are analysed which the authors see developing incrementally and directly opposing each other. Metaphors are used by the PAC to exemplify the dark side of professions, including potentially transgressing the boundaries of what constitutes “tax avoidance”. This is counteracted by the Big Four portraying an alternative market-oriented/neo-liberal view of professions pursuing a societal good through dedication to promoting market competition.

Whilst one rhetorical framing is predicated on being able to draw a clear distinction between tax evasion and tax avoidance, the alternative rhetorical framing contests this distinction and contributes to an existing cultural account that paints the dark side of some of the professions. Extending the work of Creed et al. (2002) and Alexander (2011), the authors demonstrate the bridging between micro-level discursive acts and broader cultural accounts, at the macro level. As such the authors discuss the pertinence of this multi-level discursive contest, within post-inquiry sensemaking, for understanding the “dark side” of professions.

The contemporary business environment is characterised by an increasing reliance on artificial intelligence, automation, optimisation, efficient communication and data-driven decision making. Based on the limited academic literature that examines the managerial perspective on enterprise chatbots, the paper aims to explore organisational needs and expectations for enterprise chatbots from a managerial perspective, assesses the relationship between managerial knowledge and managerial opinion regarding enterprise chatbots, and delivers a framework for integrating chatbots into the digital workforce.

The paper presents a quantitative design. An online, self-administered survey yielded 111 valid responses from managers in service and manufacturing organisations based on convenience and snowball sampling strategies. Given the nature of the data and the research questions, the research was conducted using principal component analysis, parallel analysis, correlation, internal consistency and difference in means tests.

This research explores the managerial perspective on enterprise chatbots from multiple perspectives (i.e., adoption, suitability, development requirements, benefits, barriers, performance and implications), presents a heat map of the average level of chatbot need across industries and business units, highlights the urgent need for education and training initiatives targeted at decision makers, and provides a strategic framework for successful chatbot implementation.

This study equips managers and practitioners dealing with enterprise chatbots with knowledge to effectively leverage the expected benefits of investing in this technology for their organisations. It offers direction for developers in designing chatbots that align with organisational expectations, capabilities and skills.

Insights for managers, researchers and chatbot developers are provided. The work complements the few academic studies that examine enterprise chatbots from a managerial perspective and enriches related commercial studies with more rigourous statistical analysis. The paper contributes to the ongoing discourse on decision-making in the context of technology development, integration and education.

Given the importance of competitive intelligence (CI) to the economic performance of firms, understanding whether CI practice is impacted by firm size or by their awareness of CI maybe important when creating programs designed to improve firms’ CI performance. This paper aims to address this by examining the extent to which the CI practices of small and medium-sized enterprises (SMEs) and large firms differed using a sample of firms with knowledge/awareness of CI.

A survey was developed that included 10 CI organization questions and 67 CI process questions. The survey was sent to a sample with awareness/knowledge of CI – strategic and CI professionals (SCIP) members and individuals who had attended SCIP events T-tests were then used to compare the SME’s and large firms’ responses to the 10 CI organization and 67 CI process questions.

For firms with CI awareness/knowledge, the study results suggest that size has very little relationship with CI practice. Of the 10 CI organization variables, only two were significantly different between the SME’s and the large firms. Large firms had more full-time CI staff and were more likely to have a formal intelligence unit compared to the SME’s. Of the 67 CI process variables, only four were significantly different between the SME’s and the large firms. Large firms made more use of company intranet for distributing CI findings use business analytics software and use commercial databases for information than SME’s while the SME’s used social media, in particular Facebook more than large firms, in their competitive intelligence activities.

This study uses a sample frame of firms with CI awareness/knowledge in examining differences between SME’s and large firms CI practices.

This study aims to lay out a framework to quantify the impacts of mining booms on the macro-economy in Laos.

A computable general equilibrium (CGE) model is used to investigate the impact of the mining sector on the Laos’ economy by examining this sector’s increase in both stock and the productivity of capital.

It was found that higher capital stock and productivity lead to increased value added, production, exports and investment in the mining sector. These increases result in higher real gross domestic product, exports and investment. Unfortunately, the effects from the associated Dutch disease negatively impact real production and value added in the agriculture and industry. Suitable macroeconomic management and prudent administration of the windfall income from mining are therefore important.

The finding is important for policymakers to implement policy to deal with the negative impact of mining booms.

It is the first study to attempt to investigate the impact of the mining sector on the Lao economy using the CGE model. Second, we also provide recommendation to cope with the negative impact from mining booms which provide important implications for other developing countries that face the negative impact from mining booms.

A two‐year study of four effective secondary school principals generated the hypothesis that a principal′s actions can be represented by a value‐based model in which beliefs and values lead to goals, thereafter to activities (and constraints) and finally to outcomes. The model is conceptualised as consisting of a set of four states, values, goals, behaviours and outcomes, which can be represented formally by a Markov chain. Each of the four principals held significantly different value sets, but the analysis of the data from “Profile of the School” questionnaires indicate that no one value set brings about more effective leadership than another.