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While research on digital dangers has been growing, studies on their respective solutions and justice responses have not kept pace. The agathokakological nature of technology demands that we pay attention to not only harms associated with interconnectivity, but also the potential for technology to counter offenses and “do good.” This chapter discusses technology as both a weapon and a shield when it comes to violence against women and girls in public spaces and private places. First, we review the complex and varied manifestations of technological gender violence, ranging from the use of technology to exploit, harass, stalk, and otherwise harm women and girls in communal spaces, to offenses that occur behind closed doors. Second, we discuss justice-related responses, underscoring how women and girls have “flipped the script” when their needs are not met. By developing innovative ways to respond to the wrongs committed against them and creating alternate systems that offer a voice, victims/survivors have repurposed technology to redress harms and unite in solidarity with others in an ongoing quest for justice.

The purpose of this paper is to examine the financial factors across multiple levels of analysis that influence the performance effects of the unrelated diversification strategy, including institutional-, industry- and firm-levels.

Using a unique panel dataset of Italian firms from 1980 to 2010, the paper tests hypotheses on how industry external financial dependence and the firm's financial constraints both separately and jointly alter the performance benefits of unrelated diversification in contexts with financial market inefficiencies.

Unrelated diversification increases performance in weak financial contexts and such positive effect is enhanced by greater industry external financial dependence and greater firm financial constraints. However, as financial markets develop, the moderating effects of firm financial constraints shrink.

The study highlights the importance of recognizing the multiple financial contingencies that may alter the benefits of the unrelated diversification strategy, suggesting caution in its pursuit to boost firm performance.

The authors develop a theoretical framework that explains the performance outcomes of unrelated diversification, linking the benefits of an internal capital market (ICM) with the financial context of the firm and offering a fine-grained analysis that moves beyond the advanced/emerging economy dichotomy. Furthermore, leveraging on the unprecedented time frame of the empirical analysis, the paper highlights the crucial role of industry- and firm-level financial contingencies and demonstrates that their effects change at varying levels of development of the financial context.

Despite the proliferation of work–family research, a thorough understanding of family role status changes (e.g. the gaining of elder or child caregiving responsibilities) remain under-theorized and under-examined. The purpose of this paper is to conceptualize various forms of family role status changes and examine the ways in which these changes influence various employee outcomes.

Data were collected as part of the work–family health study. Using a longitudinal, three-wave study with two-time lags of 6 months (n = 151 family role status changes; n = 392 individuals with family role stability), this study uses one-way analysis of variance to compare mean differences across groups and multilevel modeling to examine the predictive effects of family role status changes.

Overall, experiences of employees undergoing a family role status change did not differ significantly from employees whose family role status remained stable over the same 12-month period. Separation/divorce predicted higher levels of family-to-work conflict.

The work raises important considerations for organizational science and human resource policy research to better understand the substantive effects of family role status changes on employee well-being.

This study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).

Propensity score matching and doubly robust inverse probability-weighted regression adjusted methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.

The study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.

The study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.

This first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

While there exist many surveys on the use stochastic frontier analysis (SFA), many important issues and techniques in SFA were not well elaborated in the previous surveys, namely, regular models, copula modeling, nonparametric estimation by Grenander’s method of sieves, empirical likelihood and causality issues in SFA using regression discontinuity design (RDD) (sharp and fuzzy RDD). The purpose of this paper is to encourage more research in these directions.

A literature survey.

While there are many useful applications of SFA to econometrics, there are also many important open problems.

This is the first survey of SFA in econometrics that emphasizes important issues and techniques such as copulas.

Recently, there has been a call for replication research to validate empirical findings, especially findings that are important for development policies. Thus, the purpose of this paper is to replicate the estimation results from Mu and van de Walle (2011).

The author used raw data sets provided by Mu Ren and Dominique van de Walle and the same methods of Mu and van de Walle (2011). In addition to the pure replication, the author conducted the two extensions: sensitivity analysis of covariates and bandwidth selection and analysis of the effect of the road project on additional outcome variables.

Overall, the author ables to replicate most estimates from Mu and van de Walle (2011). The author find a positive effect of rural roads on local market development. The impact estimates of the road project are not sensitive to the selection of the bandwidth in kernel propensity score (PS) matching. There are no significant effects of road projects on additional outcomes, including access to credit and migration.

The study confirms a positive effect of rural roads on local market development. Thus, the government can provide investment in rural roads to improve the local market and its welfare.

This study tried to replicate and verify an important study on the impact of the rural road in Vietnam.

Narrative-driven, choice-based games, games that allow gamers to make decisions regarding the game characters and storylines, can bring forth emotional changes in their players and offer empathy during scenarios that a player may not experience in real-world situations. Therefore, they can be used as tools to help with gender nonconforming (GNC) individuals’ resilience regarding their gender identities. This study explores GNC peoples’ game-playing experiences with choice-based games, especially how such experiences help them gain resilience and shape their gender identities.

This study follows the classic phenomenological approach to understanding the experience of GNC gamers’ resilience experience from their own perspectives. In-depth interviews were conducted with 12 GNC participants, aged between 18 and 34. Each interview lasted 45–90 minutes. Interviews were transcribed and coded using NVivo R1. The essence of meanings was identified using themes and interpreted through qualitative analysis.

This paper identified six gender- and resilience-related common themes within GNC people’s gaming experiences, including 1) character creation: exploring gender identity through an avatar; 2) self-exploration and experimentation in games; 3) resonating experiences; 4) positive inclusive features in games; 5) storytelling and involving the player and 6) your actions have meaning.

The themes, patterns and game features identified in this study may provide insight into potential resilience-building activities for GNC people. They may inform digital mental health interventions, information services and game design practices.

Equity, inclusion and social justice have become a significant theme in today’s society. This study focuses on a marginalized community, GNC people and their mental health and resilience building. Results of the study will contribute to the understanding of this community and may inspire more intervention methods to help them cope with stress and difficult situations.

Research on gaming’s health benefits for the general population has been abundant, but studies about using games to help the LGBTQ+ community have been largely overlooked until recent years. Research on casual games’ mental benefits for LGBTQ+ people is particularly lacking. This research is one of the first in-depth, comprehensive investigations of GNC individuals’ resilience experiences with a particular type of casual video games, choice-based games. The phenomenological study offers rich description of gaming and gender identity exploration from gamers’ viewpoints.

This paper examines the relationship between marketing automation emergence and the marketers' use of heuristics in their decision-making processes. Heuristics play a role for the integration of human decision-making models and automation in augmentation processes, particularly in marketing where automation is widespread.

This study analyzes qualitative data about the impact of marketing automation on the scope of heuristics in decision-making models, and it is based on evidence collected from interviews with twenty-two experienced marketers.

Marketers make extensive use of heuristics to manage their tasks. While the adoption of new automatic marketing tools modify the task environment and field of use of traditional decision-making models, the adoption of heuristics rules with a different scope is essential to defining inputs, interpreting/evaluating outputs and control the marketing automation system.

The paper makes a contribution to research on the relationship between marketing automation and decision-making models. In particular, it proposes the results of in-depth interviews with senior decision makers to assess the impact of marketing automation on the scope of heuristics as decision-making models adopted by marketers.

This study aims to take advantage of exporters’ product codes and examine the effects of government subsidization on corporate product strategies by focusing on the dimension of product differentiation.

This study uses harmonized system (HS) product codes to construct a novel measure of product differentiation among a sample of Chinese exporters during 2000–2012. It uses propensity score matching to construct a comparable sample of control firms for exporters receiving government subsidies, and then a difference-in-differences (DID) analysis is conducted.

This study finds that product differentiation decreases immediately upon receiving a government subsidy. This finding suggests that in an emerging market, firms use their subsidy to imitate competitors rather than increase innovation. Further analyses show that this effect is concentrated among wholly foreign-owned enterprises and firms that focus on general trade rather than processing trade. In addition, the authors find some evidence that government subsidization leads to an increase in the number of product lines and decreases in domestic value added and export product quality.

This study constructs a novel measure of product differentiation for a large sample of Chinese exporters and provides insights that government subsidization can affect corporate product strategies.