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This study examines how the importance of external investment environment factors affects stock market perception, and how stock market perception affects stock investments after stock market crash witnessed by individual investors in one of the emerging stock markets.

A cross-sectional survey was administrated among 223 individual investors who experienced stock market crash in 2010–2011 in Bangladesh, and the proposed model was tested by the partial least squares-structural equation modeling PLS-SEM model.

Findings show that the importance of Bangladesh's stock market performance, government policy, economic issues and neighboring country's stock market performance have effects on investors' stock market perception. This perception, in turn, decreases monthly stock trading and short-term investment horizon. The findings further show the mediating effect of stock market perception.

Investors need to carefully consider the external investment environment when they form their stock market perception, as this perception drives stock investments. Analogously, regulators should ensure releasing timely and updated statistics on external investment factors.

Addressing those investors who encountered stock market crash, a set of external investment environment issues, stock market perception and stock investments are new in the literature.

In the first decade of the 21st century, the financial crisis of 2007–2010 stands out as a landmark political, societal, business and economic event. Its impact on the financial sector is evident as seen by the collapse of banks such as Lehman Brothers, the sale of Bear Stearns to JP Morgan Chase and by the full or part nationalisation of others such as Northern Rock, Bradford and Bingley, Lloyds (including Halifax Bank of Scotland which they acquired during the crisis) and RBS. Its scope and breadth of impact has spread beyond the financial sector and has affected the broader economy and society. The North American along with a number of European and other economies fell into recession. The UK economy suffered its longest and deepest recession since the Second World War. Government and central banks announced unprecedented policy responses and initiated measures such as record low interest rates and quantitative easing (the printing of money) to stave off a 1930s style depression. Policies such as the car scrappage scheme introduced by the UK and American governments were designed to reduce inventories, stimulate economic recovery and help re-build confidence. Nevertheless, businesses suffered and a number of them collapsed, for example in the United Kingdom, high street retailers Zavvi, Woolworths and among others Borders ceased trading and were put into administration. The story of the financial and economic crisis has been well documented by, among others, Tett (2010), Roubini and Mihm (2010), and Bishop and Green (2010).

This paper aims to integrate Big Data in e-government in Oman, also known as “e-Oman”, wherein Big Data might be better harnessed to tackle real-time challenges.

Besides a description of the concepts of e-government and Big Data in general, the paper underscores the dimensions of “e-Oman”. Following a qualitative approach, the paper asserts how integration of Big Data in “e-Oman” may be useful by invoking examples from four short case studies across different sectors.

The paper supports the integration of “e-Oman” and Big Data wherein besides providing smooth public services, the government is encouraged to forge inter- and intra-ministerial collaboration and public-private partnership. The paper probes through the challenges and opportunities in effecting this integration.

The paper provides a platform for the policymakers to conceive of a synchronized programme for integrating “e-Oman” and the Big Data generated by it. This integration would go a long way in building upon the economy of Oman, besides providing better public services to the individuals and businesses on a real-time basis.

The paper does throw light on the issues of privacy and confidentiality of data available with the government. There are challenges of cybercrime as well. Therefore, the paper posits that a robust fool-proof infrastructure should be instituted by the government for effecting integration of e-government and Big Data.

This paper seeks to fill the gap in extant literature which remains scant on the integration of e-government with Big Data. This is especially true in the case of Oman where not a single study has been presented to probe this issue. Given that “e-Oman” is expanding its scope over the years, this paper foresees the concomitant opportunities and challenges in the integration of Big Data in “e-Oman”.

This study aims to achieve three goals: present a holistic, flexible and dynamic model; define the model’s factors and explain how these factors lead to effective and efficient usage of big data; and generate indexes based on experts’ input to rank them based on their importance.

This paper uses the analytic hierarchy process, a quantitative method of decision-making, to evaluate the importance of the factors presented in the model. The fundamental principle of the overall model is that of a dynamo which is borrowed from electromagnetic physics. The model is also based on three IS theories.

Technological advancements and data security are among the most important factors that may impact the effectiveness and efficiency of big data usage. Authentication, governments’ focus on it and transparency and accountability are the most important factors in techno-centric, governmental-centric and user-centric factors, respectively.

The findings of this paper confirmed earlier findings in the literature and quantitatively assessed some of the factors that were conceptually presented. This paper also presented a framework that can be used in future studies.

Policy and decision-makers may need to upgrade pertinent technologies such as internet security, frame policies toward information technology (IT) and train the users.

This paper fills a gap in the literature by presenting a comprehensive study of how different factors dynamically contribute to the effective usage of big data in the public sector. It also quantitatively presents the importance of the factors based on the data collected from 12 IT experts.

The purpose of this paper is to contribute to the literature by introducing a novel index that measures ease of doing business (EDB) at the sub-national level. The authors provide a comprehensive assessment of both de jure and de facto business conditions in 21 sub-national economies of India, with the help of a holistic framework that encompasses indicators capturing Attractiveness to Investors, Business Friendliness and Competitive Policies (ABC), the three broad environments that constitute the EDB–ABC index.

The authors’ index EDB–ABC index is constructed using 81 indicators. The index values reported are standardized scores and the framework is applied to 21 Indian sub-national economies. The bottom-up approach takes into account the various operational issues that firms face at the ground level, with the emphasis being on de facto issues. A unique feature of the index is its emphasis on collecting extensive survey data at the sub-national level, given that several constraints that businesses face lie under the purview of the sub-national governments. It also combines publicly available macroeconomic data through formal statistical publications.

The findings suggest a positive association between the proposed EDB–ABC index and competitiveness of as well as investments into Indian sub-national economies. In terms of explanatory power, the authors find that indicators capturing attractiveness to investors and business friendliness which are representative of de facto implementation issues at the sub-national matter more than de jure competitive policies. It is also striking that the results are in stark contrast to the existing doing business studies highlighting the importance of the comprehensiveness of the index.

Easing the impediments to doing business is a pre-requisite to enhance both domestic as well as foreign investments. Existing indicators on doing business provide an incomplete picture about the prevailing business conditions as the basis for such rankings are de jure regulations and not de facto. The authors depart from this tradition by dealing with both de jure and de facto business conditions using a combination of primary and secondary data at the sub-national level in India.

In the data economy era, despite the tremendous effort of governments to actively provide and use open data, its effect on national performance such as competitiveness differs widely from country to country. A sufficient knowledge base and its appropriate management are important to effectively derive the potential value from open data. A country can implement multiple and equally viable means to effectively align open data with knowledge management, which lead to high national performance. However, previous studies lack consideration of the possibility of these various configurations. To fill the research gap, this study aims to investigate the configurational patterns constituted by government data openness and knowledge management for national competitiveness.

From the open innovation perspective, this study collected data from the global reports of 76 countries and examined them through fuzzy-set qualitative comparative analysis (fsQCA).

Four configurational patterns are identified, namely, coupled (outbound-focused)-, coupled (inbound-focused)-, inbound-focused-, and outbound-focused national competitiveness.

This study provides a foundation that enables researchers to build a holistic and balanced perspective that can manage open government data and develop knowledge management capability.

The Internet and World Wide Web offer a rapidly increasing quantity of valuable resources on Asia‐specific information. In view of the vast scope of the Asian countries and the fast proliferation of good sites, this article offers only a sampling of valuable Internet resources as starting points for further exploration. It covers meta sites, Asian search engines, library resource pages, and electronic journals and newspapers. The first part of this paper includes the Internet sites of Asian studies, the second part contains selected East Asian country resources from China, Hong Kong, Japan, Korea and Taiwan, and the third part presents the leading Asian electronic journals and newspapers. Preference was given to comprehensive sites on countries or regions that have been the focus of recent academic study and research. All the sources are in English and some of them contain bilingual or multilingual versions.

The purpose of this paper is to propose a novel framework to measure ease of doing business (EDB) that undertakes a holistic approach incorporating three distinct environments: attractiveness to investors, business friendliness, and competitive policies (ABC). This is offered as an alternative to existing popular indicators of doing business (DB), allowing for better approximation of investment and economic growth at the sub-national level.

The proposed “EDB Index ABC” aggregates 74 indicators into five sub-environments, three environments, and ultimately into the overall EDB Index ABC. Values are standardised using the standardised score method. The framework is applied to 33 Indonesian provinces using a combination of primary data from surveying the business community and government departments as well as secondary data from formal government statistics.

The findings suggest a positive association between the proposed EDB Index ABC and competitiveness as well as investments into Indonesian provinces. In terms of explanatory power, attractiveness to investors and business friendliness seem to be stronger and more consistent, while the role of competitive policies is more ambiguous.

This research departs significantly from conventional approaches to the study of DB that tend to overwhelmingly focus on formal regulatory aspects by including macroeconomic factors such as market potential and infrastructure resilience as well as micro-level variables such as profitability and cost effectiveness, and the role of government in managing competition. Responding to calls for a bottom-up approach in understanding the EDB, the EDB Index ABC is applied to 33 Indonesian provinces.

Public sector data analytics concerns the process of retrieving data, data analysis, publication of the results as well as re-using the data by government organizations to improve their operations and enhance public policy. This paper aims to explore the use of public sector data analytics in the Netherlands and the opportunities and challenges of this use.

This paper finds 74 applications of public sector data analytics, identified by a Web search and consultation with policymakers. The applications are categorized by application type, organization(s) involved and application domain, and illustrative examples are used to elaborate opportunities and challenges.

Public sector data analytics is most frequently used for inspection and enforcement of social services and for criminal investigation. Even though its usage is often experimental, it raises concerns for scope creep, repeated targeting of the same (group of) individuals, personal data use by third parties and the transparency of governmental processes.

Drawing on desk research, it was not always possible to identify which type of data or which technology was used in the applications that were found. Furthermore, the case studies are illustrative rather than providing an in-depth overview of opportunities and challenges of the use of data analytics in government.

Most studies either perform a literature overview or present a single case study; this paper presents a more comprehensive overview of how a public sector uses data analytics.

Information dissemination has become a means of transparency for governments to enable the visions of e-government and smart government, and eventually gain, among others, the trust of various stakeholders such as citizens and enterprises. Information dissemination, on the other hand, may increase the chance of privacy breaches, which can undermine those stakeholders’ trust and thus the objectives of transparency. Moreover, fear of potential privacy breaches compels information disseminators to share minimum or no information. The purpose of this study is to address these contending issues of information disseminations, i.e. privacy versus transparency, when disseminating judicial information to gain (public) trust. Specifically, the main research questions are: What is the nature of the aforementioned “privacy–transparency” problem and how can we approach and address this class of problems?

To address these questions, the authors have carried out an explorative case study by reconsidering and analyzing a number of information dissemination cases within their research center for the past 10 years, reflecting upon the whole design research process, consulting peers through publishing a preliminary version of this contribution and embedding the work in an in-depth literature study on research methodologies, wicked problems and e-government topics.

The authors show that preserving privacy while disseminating information for transparency purposes is a typical wicked problem, propose an innovative designerly model called transitional action design research (TADR) to address the class of such wicked problems and describe three artifacts which are designed, intervened and evaluated according to the TADR model in a judicial research organization.

Classifying the privacy transparency problem in the judicial settings as wicked is new, the proposed designerly model is innovative and the realized artifacts are deployed and still operational in a real setting.