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To overcome change management challenges, organizations often rely on stories as means of communication. Storytelling has emerged as a leading change management tool to influence and bring people on sharing knowledge. Nevertheless, this study aims to suggest stories of change as a more effective tool that helps people in taking action toward transformation processes.

The authors apply design science research to develop and evaluate how writing a prospective story engages organizational actors in the transformation process. The authors test the story-making artifact in a field study with five companies and 115 employees who participated in 75 workshops.

Using the findings to discuss the role of story-making in facilitating the emergence of new behaviors in transformation processes, the authors link story-making with the opportunity to make change happen through knowledge dissemination rather than merely understanding it.

The authors illustrate the role of iterations, peers and self-criticism that help story-makers embrace sensemaking, developing a shared knowledge based that influence individual actions.

The authors propose the story-making approach that organizations can follow to nurture change to make transformation happen through knowledge cocreation.

The research explores story-making as an individual act of writing prospective stories to facilitate the emergence of new behaviors through shared knowledge.

Technology-facilitated violence against women (TFVW) is readily becoming a key site of analysis for feminist criminologists. The scholarship in this area has identified online sexual harassment, contact-based harassment, image-based abuse, and gender-based cyberhate – among others – as key manifestations of TFVW. It has also unpacked the legal strategies available to women seeking formal justice outcomes. However, much of the existing empirical scholarship has been produced within countries like the United States, United Kingdom, and Australia, and there has been limited research on this phenomenon within South East Asia. As such, this chapter maps how technology is shaping Singaporean women's experiences of gendered, sexual, and domestic violence. To do so, it draws upon findings from a research project which examined TFVW in Singapore by utilizing semistructured interviews with frontline workers in the fields of domestic and sexual violence and LGBT services. Drawing from Dragiewicz et al.’s (2018) work on technology-facilitated coercive control (TFCC), I argue that victims-survivors of dating, domestic, and family violence need to be provided with support that is TFCC informed and technically guided. I also suggest that further research is needed to fully understand the prevalence and nature of TFVW in the Singaporean context.

This study investigates the time-varying volatility spillover connectedness among seven major cryptocurrencies before and during the COVID-19 pandemic. It aims to understand contagion risk and its implications for diversification and financial stability, especially during periods of extreme price volatility.

Using the frequency-domain spillover index, the study analyzes the interconnectedness of cryptocurrency markets with daily data from 10 August 2015 to 10 December 2021. This method allows for examining volatility spillovers across different time frequencies.

The study finds that cryptocurrencies are highly interconnected at higher frequencies, indicating significant contagion risk and limited short-term diversification opportunities. The spillover effects are frequency-dependent, varying across different time horizons.

The findings suggest the need for targeted regulatory policies focused on short-term cryptocurrency behavior to maintain financial stability. Investors should exercise caution when using cryptocurrencies for portfolio diversification, given the high interconnectedness and contagion risk.

This study uniquely contributes to the literature by applying a frequency-domain approach to analyze volatility spillovers across multiple cryptocurrencies, particularly in the context of the COVID-19 pandemic. It provides novel insights into the frequency-dependent nature of spillover effects, offering a deeper understanding of the contagion risk in cryptocurrency markets.

The present study reviews the literature on the history and evolution of investment strategies in the stock market for the period from 1900 to 2022. Conflicts and relationships arising from such diverse seminal studies have been identified to address the research gaps.

The studies for this review were identified and screened from electronic databases to compile a comprehensive list of 200 relevant studies for inclusion in this review and summarized for the cognizance of researchers.

The study finds a coherence to complex theoretical documentation of more than a century of evolution on investment strategy in stock markets, capturing the characteristics of time with a chronological study of events.

There were complications in locating unpublished studies leading to biases like publication bias, the reluctance of editors to publish studies, which do not reveal statistically significant differences, and English language bias.

Practitioners can refine investment strategies by incorporating behavioral finance insights and recognizing the influence of psychological biases. Strategies span value, growth, contrarian, or momentum indicators. Mitigating overconfidence bias supports effective risk management. Social media sentiment analysis facilitates real-time decision-making. Adapting to evolving market liquidity curbs volatility risks. Identifying biases guides investor education initiatives.

This paper is an original attempt to pictorially depict the seminal works in stock market investment strategies of more than a hundred years.

This study investigates the effect of asset specificity, inter-firm ecosystem and firm adaptability on supply chain integration. The study also investigates the mediation effect of firm adaptability on the relationship between asset specificity and supply chain integration and inter-firm ecosystem and supply chain integration.

This research applied a quantitative research methodology to investigate the interdependencies between study variables. A disproportionate stratified simple random sampling technique was used to select the firms that participated in the study. As a result, 103 food processing firms were selected from a total population of 345 firms located in Kampala district.

The findings reveal that the direct relationship between asset specificity and supply chain integration and inter-firm ecosystem and supply chain integration was found positive but insignificant. Both asset specificity and inter-firm ecosystem are associated positively with firm adaptability. A partial mediation was established between asset specificity and SCI while a full mediation effect was found in inter-firm ecosystem and SCI.

The study used perceptual measures to obtain responses on the various constructs investigated and how these constructs relate. To avoid biasing the results, key suppliers and customers were not involved due to multi-level relationships that they maintain with various firms.

This study contributes to existing studies by applying two theories. First, the study applies the Transaction Cost Theory to study the effect of asset specificity on supply chain integration. Secondly, the Complexity Adaptive System Theory was applied to examine the influence of firm adaptability and inter-firm ecosystem on supply chain integration. Few studies have focused on the effect of inter-firm ecosystem in the supply chain; yet, SCI involves network of various player making supply chains complex This study is among the few studies that have focused on adaptability in the food processing sector in a developing country like Uganda.

This study investigates how asset specificity, relational governance and firm adaptability relate with supply chain integration (SCI), considering selected food processing firms (FPFs) in Uganda.

This study applies a quantitative research methodology. This research draws on a sample of 103 FPFs that have been selected from a population of 345 FPFs located in Kampala district. Hypothesis testing was done using Smart PLS version 3.

Asset specificity has a significant positive relationship with SCI, and firm adaptability partially mediates this relationship. Also, there is a full mediation impact of firm adaptability on the relationship between relational governance and SCI.

This study focused on perceptual measures to get responses from managers on the level of integration with key suppliers and customers, yet firms deal with a number of suppliers and customers.

This study contributes to existing literature on SCI by applying the transaction cost theory. The study focuses on the influence of asset specificity, relational governance and firm adaptability on SCI in the food processing sector. Literature on relational governance in supply chain using the transaction cost theory remains scanty. Few studies have also focused on firm adaptability as a mediator in the FPS with specific focus on Uganda, yet the sector is highly faced with uncertain events. The uncertain events in the sector and in developing countries call for adaptive strategies. Additionally, this study is the first to use firm adaptability to mediate the influence of asset specificity and relational governance on SCI more so in a developing country like Uganda where the FPS is one of the most important in the economy.

The author investigates whether investors’ online information demand measured by Google search query and the changes in the numbers of Wikipedia page view can explain and predict stock return, trading volume and volatility dynamics of companies listed on the Nigerian Stock Exchange.

The multiple regression model which encompasses both the univariate and multivariate regression framework was employed as the research methodology. As part of our pre-analysis, we test for multicollinearity and applied the Wu/Hausman specification test to detect whether endogeneity exist in the regression model.

We provide novel and robust evidence that Google searches neither explain the contemporaneous nor predict stock return, trading volume and volatility dynamics. Similarly, results also indicate that trading volume and volatility dynamics have no relationship with changes in the numbers of Wikipedia pages view related to stock activities.

This study opens new strand of empirical literature of “investors' attention” in the context of African stock markets as empirical evidence. No evidence from previous studies on investors' attention exist, whether in Google search query or Wikipedia page view, with respect to African stock markets, particularly the Nigerian stock market. This study seeks to bridge these knowledge gaps by examining these relations.