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E‐trade (or electronic trading) appears to offer increased efficiency in business processes, but only a limited number of small firms in Korea have adopted the new processes. The purpose of this paper is to try to establish the obstacles and the perceived barriers to the continuing use of e‐trade technologies by small Korean firms.

The literature was employed to develop a theoretical model that includes perceived risk and the environment. The model was operationalised in a questionnaire completed by 164 respondents. LISREL validated the instrument and the model. The data were analysed using structural equation modelling.

The authors found that information risk and business risk negatively affect adoption and use. The authors also tested the relationship between the environment of the organisation and adoption of e‐trade. The results show that the maturity of information technology and the innovation characteristics of the firm have positive influences on the adoption of e‐trade.

This study uses data from existing users, so the findings extend the existing literature about decisions to adopt and use new processes. The data are, however, limited to the Korean context.

The study demonstrates the negative influence of perceptions about risk associated with innovative processes. Thus, this awareness and understanding of how barriers are perceived should help to increase the diffusion of e‐trade systems. The authors' findings indicate what has to be done for developing and extending the use of e‐trade.

The study is novel and contributes to the understanding of the adoption and use of new processes.

The purpose of this paper is to explore the adoption, use, and performance of e-trade systems in South Korean businesses.

The authors developed a modified Technology Acceptance Model extended through resourced-based view theory, to address the performance aspect, hitherto neglected in previous studies. Using the new model, 114 businesses were surveyed, measuring relationships between perceived usefulness, perceived ease of use, e-system usage, and business performance. Latent mean analysis was performed to examine the moderating effects of high and low e-trading system usage.

Through latent mean analysis, the authors determined that the influence of variables varies depending on the level of e-trading system usage. In both the high and low usage groups, perceived convenience influenced reuse of e-trading systems and reuse also had effects on business performance.

The authors only examined Korean enterprises, so it would be useful to also examine the foreign counterparts in international e-trade transactions. Follow-up studies could examine how the dynamics of the sector change over time. Qualitative case study approaches could better understand the perspectives of firms in relation to management strategy formulation and decision making.

The results provide important insight for managers and policymakers concerned with developing electronic trading system strategies, and e-trading system contexts.

Although many studies have explored relationships among perceived advantages, such as usefulness and convenience and use and performance, none have investigated the relationship between usage and business performance targeting e-trading systems.

E-Trade (paperless trade or cross-border e-commerce in B2B format) does not necessarily show positive results. The purpose of this paper is to conceptualize why and how such happens and furthermore, has two research purposes. First is to explain why studies in e-Trade performance show controversial results, such as some showing positive while others are not. Second is to investigate the relationship among research constructs such as e-Trade benefits, e-Trade use, asset specificity, and exporting firm’s capability.

This study considers multiple dimensions and evolutionary perspective of e-Trade performance. Structural equation model adopts the measures of firm’s capability, e-Trade use, and benefits to analyze e-Trade performance. Performance was divided into organizational net benefits (ONB) and industrial net benefits. Several hypotheses were suggested to test the relationship among the variables in the model. Basic moderator effect represented as an interaction between asset specificity and other constructs. In total, 295 exporting firms have participated in the survey and their responses were utilized for analysis.

This study shows that e-Trade performance should consider maturity as well as multiple stages among constructs. Critical paths were found among capability factors, process use (PU), ONB, and asset specificity. Results also show that information capability and marketing capability (MC) are determinant factors on e-Trade performance. In addition, MC and level of PU are read to be determinant factors of ONB. Furthermore, small and medium-sized enterprises’ (SMEs’) asset specificity, with level of capability and e-Trade use moderates their e-Trade performance.

Asset specificity of SMEs has to be managed in a positive direction. Government’s e-Trade supporting programs for SMEs should be transformed in a way that can foster the growth of capability and self-sustainment. It reads to be inevitable to amend the current characteristics of e-Trade services. Furthermore, developing a specialized e-Trade service for large firms will also be in need. And utilizing exporting firm’s financial data would be more advisable testing the hypotheses.

Most works in information system as well as in e-Trade area report controversial performance results and this paper suggests an alternative model by combining asset specificity into capability and e-Trade use. Study on e-Trade performance is complicated and needs to consider multiple dimensions as well as their stages. This study envisions firm’s capability, asset specificity and at the same time contributes in e-Trade benefits.

The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.

The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.

The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.

The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.

The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.

This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.

It is the purpose of this paper to analyze drivers of organizational change as well as their inhibitors with a particular focus on the influence of management and the environment.

The question will be addressed with the help of the case study of the New York Stock Exchange's (NYSE) move towards electronic trading. A system dynamical analysis of underlying forces and feedback will help elucidate the strength of mechanisms that drive or impede change.

The stepwise analysis of the model in accordance with different model boundaries reveals that neither the environment nor endogenous pressures from stakeholders and management alone are able to replicate the reference behavior; all three model elements are necessary to simulate the process of the NYSE's radical move. Additionally, with only minor changes in the underlying assumptions, the model is able to show the contrasting behaviors predicted by different streams of literature.

The paper's contribution is limited by the number of but one exemplary case it provides.

The paper contributes to one of the most prominent topics in the organizational change literature and adds a valuable example of representative drivers of change. It opens the black box of organizational change by its focus on the relationship of structure and behavior as well as on the process of change.

This paper reviews a number of theoretical issues dealing with the strategic management process in fast‐evolving, uncertain environments and examines the fit between theory and practice by means of two case studies, two successful dot.com incumbents from the first generation of Internet start‐ups. Analysis of survival and growth strategies of the two virtual firms reveals interesting similarities in their evolutionary processes and corporate strategic attitudes. In both cases the company management has ensured survival and growth through rigorous organizational transformation based on very intensive, flexible and short‐term‐ rather than long‐term‐oriented strategic decision making. This approach has helped out both companies not only to escape the Internet fall‐out but also to build up strong brands and leading market position. As well as identifying managerial approaches, the case studies show analogies to theoretical approaches on managing the strategic process in evolving and chaotic environments.

This paper examines the strategic approach of two exemplar internet firms belonging to the first generation of dot.coms. The analysis identifies and compares their corporate strategic approach as one of the factors that helped these companies to escape the internet disaster and maintain their market leadership for more than ten years.

The study develops a methodological process for identification of growth‐oriented strategic decisions taken and implemented by the two internet corporations in a period of five years. The strategic decisions were classified and compared based on the methodology proposed by I. Ansoff.

The classification and comparison of the strategic course of the two firms reveals interesting similarities in their managerial approach and deviation from traditional strategic procedures and thinking. The most important conclusion is that successful firms in a market with low entry barriers maintain their market leadership by focusing on short‐term rather than long‐term competitive advantages. Such a strategy requires managerial flexibility and deviation from traditional strategic practices and thinking.

Further research is required in order to obtain a more comprehensive picture of the strategic practices of successful virtual firms as well as in order to identify the critical differences between the online and the physical strategic practices.

Focusing on short‐term competitive positions as a strategy for survival and success in the virtual marketplace requires the continuous critical analysis of the external environment, efficient decision‐making processes and focus on continuous innovation and transformation.

The paper illustrates scientific evidence that transformation and innovation are the strategies most likely to contribute to the long‐term survival and success in unpredictable, sometimes chaotic and certainly fast evolving marketplaces like the internet One could assume that the findings could apply to physical markets characterized by evolution and change.

Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the article in context.

Dot.com heaven was followed by dot.com hell in the 1990s as overvalued internet stocks flew high then crashed to earth. Confidence among the investor community has returned as solid business models have been proven over time, and profitability demonstrated. However, confidence is a fragile thing as the recent troubles of Google, still something of a darling among online stocks, have demonstrated. Yet e‐business is changing the rules for all business. Whether corporations choose to participate or not, they are directly challenged by competitors who have grasped the online advantage.

Provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to‐digest format.

Reviews briefly the apparent inevitability of growth in electronic trade; the constraining factors seem to be security risks such as problems of transparency and symmetry of information, the need for defence from intrusive technologies and against threats from fraud, embezzlement, counterfeiting, false identities and privacy. Relates e‐trade to the preferences of money launderers for the internet because of its low transparency, multiplier effects, low control, and high risks. Outlines three types of strategy for confronting money laundering: adapting current procedures, developing countering IT techniques like encryption, and singling out possible patterns of suspicious transactions for intermediaries’ consideration. Concludes that existing machinery cannot be expected to curb the transition to an electronic future, and that a combination of strategies is necessary.

The purpose of this paper is to study the key determinants of capital structure for Indian manufacturing firms and which theory implications, i.e. trade off vs pecking order are more applicable in current Indian manufacturing sector scenario.

A sample size of 422 listed Indian manufacturing companies on Bombay Stock Exchange has been considered to do the empirical evaluation. A ten year period from 2003-2004 to 2012-2013 and annual financial standalone data have been considered for study. Ratio analysis and panel data approach have been applied to perform the empirical evaluation. Total debt to total capital and total debt to total assets are used as the proxy for firm financial leverage.

It was empirically found that size, age, asset tangibility, growth, profitability, non-debt tax shield, business risk, uniqueness and ownership structure are significantly correlated with the firm financial leverage or key determinants of capital structure in Indian manufacturing sector. Also, other variables like dividend payout, liquidity, interest coverage ratio, cash flow coverage ratio (CFCR), India inflation and GDP growth rate are empirically found to be insignificant to determine the capital structure of Indian manufacturing sector. There is no single theory implications, i.e. trade off vs pecking order which can explain the capital structure nature of Indian manufacturing sector and rather it is a mix of both the theories.

The findings of the study would enhance the literature on capital structure and is significant for the Indian manufacturing firm’s decisions as it includes the most recent data and covers the period of both pre- and post-recession of 2008-2009.