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Purpose – The purpose of this chapter is to examine methodological trends in emerging market strategy research and to provide a comprehensive review of methods of assessing group variation in comparative studies.

Methodology/approach – This comprises a systematic review of the methodology of emerging market research over the past 10 years, followed by methodological best practices for comparative studies involving emerging and mature markets, with exemplars from the past research.

Findings – Despite previous calls for more comparative studies in emerging market research, most of the literature is reporting on single-country studies. There is some confusion in terminology and the methods used in this area of strategy research. Increased attention to the “East” calls for a reevaluation of methods utilized in comparative studies. The methods described in this chapter present best practices for comparative research.

Social implications – More comparative studies would substantially expand our understanding of the differences between the emerging and developed markets, and the potential impact of emerging markets on global economy. Rigorous research methods extend validity and generalizability of the studies.

Originality/value – This chapter is the first study to date to analyze the methodological trends of the entire field of emerging market research over the span of 10 years and to provide systematic methodological recommendations tailored to analyzing variation in comparative studies.

This study aims at investigating the effect of an overall fit among strategy, environmental factors and organizational resources on firm performance, and the moderating role of industry on this relationship.

This paper uses hierarchical linear modeling to analyze the nested data structure from the financial and electronics companies in Taiwan’s stock market from 2011 to 2012.

The empirical results indicate that overall strategic fit is positively related to firm performance, and this relationship varies across financial industry and electronics industry.

This study provides important implications for both academic researchers and practitioners. From a theoretical aspect, this study integrates two research streams of strategic fit (external fit and internal fit) into an overall model of strategic fit, and has explored the moderating role of industry on the relationship between strategic fit and firm performance. In addition, this study has also used hierarchical linear modeling method to test the hypotheses, which has not been used in the previous strategic fit literature. From a practical aspect, the empirical results have derived implications for managers as to understand the effects of overall strategic fit on performance in different industry, which may be helpful for making decisions in specific industry context.

The paper aims to clarify the relationship between organizational identification, knowledge sharing and work characteristics. It proposes hierarchical linear modeling analysis of work context and social support climate with regard to organizational identification. The study aims to understand and prescribe the cross-level effects of a supportive climate and the effect of job design on organizational identification and knowledge sharing. Librarians need to share knowledge with their colleagues to provide timely responses for readers. Through a cross-level study, the authors' findings provide insights for both practice and academia.

Analysis approach in this paper consisted of the following steps. First, this study applied confirmatory factor analysis (CFA) to assess the validity and reliability of the authors' instrument. Second, this study checked the viability of aggregating the responses of the librarians to library-level constructs. Third, this study adapted hierarchical linear modeling (HLM) to examine the research hypotheses. HLM could be utilized to explain the nested data and simultaneously estimate the influence of factors from the different levels.

The paper provides empirical insights to support the relationship between task characteristics and organizational identification. Tasks with sufficient autonomy, variety, and feedback can improve the perception of organizational identification. Task characteristics and social support can reinforce knowledge sharing through shaping organizational identification.

As the sample libraries were all located in Taiwan, the research results may lack generalizability. Therefore, researchers are encouraged to further test the propositions in multiple cultures.

The paper includes implications for task characteristics and social support can reinforce knowledge sharing through shaping the organizational identification in libraries.

The results of cross-level analysis in this paper suggested that the variance of a supportive climate among libraries may exert an influence on knowledge sharing. This paper also confirmed organizational identification is also a partial meso-mediator for social support and knowledge sharing.

To identify the typical multilevel issues in social science, as well as illustrate the theoretical basis, hierarchical models and empirical exemplars of multilevel paradigm.

Hierarchical and multilevel data are extremely common in social systems, but multilevel analysis is constrained by statistical techniques. With the development of social system theory and empirical methods such as hierarchical structure modeling and latent growth modeling, multilevel paradigm can be used to analyze multilevel data. So it is necessary to identify typical multilevel phenomena in social science and discuss multilevel modeling techniques.

This paper identifies four typical multilevel phenomena in social system study: hierarchical and clustered sampling, collective construct research, longitudinal repeated measures, and event history analysis. Hierarchical structure modeling and latent growth modeling are effective multilevel analysis techniques in social science because of their advantages in the integration of social system research.

The quality and availability of multilevel data are the main limitations regarding which model will be applied.

The paper can aid the provision of effective multilevel models to social workers.

This paper provides information on application of multilevel modeling in social science.

The purpose of this paper is to identify the components of logistics value and examine their influence on customer satisfaction in e-commerce. This study investigates the moderation effect between those two variables using the overall service level in the different industries of e-commerce.

A total of 592 correctly filled questionnaires from telephone and web interviews (computer-assisted telephone interviews and computer-assisted web interviews) were scrutinized. Hierarchical linear modeling (as a part of a wider group of multilevel modeling studies) was used to verify the dependencies between variables from an organization and industry levels.

The logistics factors indicated and described in the paper differently affect the value for the customer. This value is subjective and dynamic. For this reason, the online seller should develop a system to create a sustainable value proposition. It is plausible due to the possibility of choosing the type of delivery, date of collection and change thereof, as well as that of returning the product. Because of all this, the customer decides on the way of the order execution and creates the value chain.

The developed model is aimed at identifying universal relationships that create the customer satisfaction mechanism for the logistics value. However, this may result in other aspects of customer satisfaction being neglected. The authors are aware that the creation of value by a company in e-commerce must be approached in a systematic manner.

The results obtained and the representativeness of the surveyed sample of companies lead to the formulation of implications for business practice. The conclusions of the research definitely indicate a need to build awareness of logistics value and its influence on customer satisfaction through the service level in the industry. Because of the identified components of the logistics value and industry characteristics, managers of online retailers can better run their businesses, increase customer satisfaction, and thus improve their performance.

It is the first study that concerns e-commerce in individual industries, with particular emphasis on logistics and its impact on customer satisfaction.

Over the last several decades, businesses have faced mounting pressures from diverse stakeholders to alter their corporate operations to become more socially and environmentally responsible. In turn, many firms appear to have responded by implementing more sustainable practices — measuring, documenting, and publishing annual CSR or sustainability reports to showcase how they are addressing important issues in this area, including: resource stewardship, waste management, greenhouse gas emission reductions, fair and safe labor practices, amongst other stakeholder concerns. And yet, research in this domain has not yet systematically examined whether businesses have, on the whole, changed their practices in tandem with the important changes in its institutional context over time. Have corporate CSR initiatives, in fact, been growing over the last 25 years or has the increased attention to CSR actually been much ado about nothing? In this chapter, we review the empirical literature on CSR to uncover that common measures of CSR such as the KLD do not support the concept that CSR practices have increased substantively over the last 25 years. We supplement this historical review by modeling the growth curves of CSR implementation in practice and find that the pace of positive change has indeed been glacial. More alarmingly, we also look at corporate social irresponsibility (CSiR) and find that, contrary to expectations, businesses have become more, not less, irresponsible during this same time period. Implications of these findings for theory are presented as are suggestions for future research in this domain.

As organizations increasingly rely on teams to provide high levels of customer service, one's understanding and research methods related to teams must expand so that multiple hierarchical levels of an organization are analyzed effectively. This study aims to propose and test a model examining multi‐level team relationships.

Survey data from customer contact teams in a banking setting were analyzed using hierarchical linear modeling (HLM), a method appropriate for investigating individual and group level variables within an organization.

Results indicate that team‐member exchange, a group‐level variable, is positively associated with employee performance and organizational citizenship behavior (OCB), and explained variance in outcomes above and beyond that explained by the individual‐level relationship between the supervisor and subordinate.

Analyzing both individual‐ and group‐level variables through HLM explicates team processes and outcomes. While this study examines the banking environment, certainly, teams are an area fertile for additional study in a variety of industries.

The results provide support for the importance of team development and training as organizations increasingly use teams to provide critical customer service. Attention to the employee‐manager relationship and team member interactions will improve performance.

The paper extends understanding of important team member outcomes in an environment that increasingly relies upon teamwork to serve customers. It examines team‐member exchange and its effects on employee performance and OCB in the context of customer contact teams. Additionally, investigates leader‐member exchange in the context of team‐member exchange, a relationship that provides a more robust understanding of team processes.

This study proposes a multilevel framework to test the mechanisms and boundary conditions of the relationships between positive group affective tone (PGAT) and individual/team creativity.

Data are collected from 122 research and development (R&D) teams (including 305 members and 122 team leaders). Hierarchical linear modeling analyses and hierarchical regression analyses are performed to test hypotheses.

The results show that PGAT facilitates individual creativity via enhanced work engagement, and increases team creativity via team information exchange. Supporting the substituting perspective, we found that the positive indirect effects of PGAT on individual/team creativity were attenuated when supervisory support is high.

Although all variables were collected at the same time and the individual-level variables were collected from the same source, our findings highlight the mechanisms explaining the beneficial effects of PGAT on individual/team creativity, and how supervisory support can substitute for such effects.

In order to make the individuals and teams more creative, the organizations need to promote PGAT via the selection of appropriated leader and members or team social events. Moreover, supervisors support is particularly salient in enhancing team creativity when PGAT is low.

This study is the one of the first study to test the motivational/social mechanisms linking the relationship between PGAT and individual/team creativity, and the competing theoretical perspectives regarding how supervisory support can moderate the PGAT–creativity linkage.

The importance of regional strategy as a separate paradigm in the international business literature has grown in recent years, and the initial connections between regionalization and firm performance appear promising. What is lacking, however, is an empirical analysis quantifying the impact of regional effects on firm profitability. This topic is an important one for the field of international business, as drivers of firm profitability are some of the key motivators of research in international strategy. The aim of this paper is to empirically quantify the role of regional effects on the performance of service firms in a manner such that regional effects can be directly compared with country and firm effects on firm profitability.

Using a hierarchical linear model (HLM) with four levels, the proportion of variation driven by regional effects is estimated. These estimates are obtained from a data panel of 48,083 units from 7,129 service firms across the three triad regions (North America, Europe, and Asia Pacific) over a ten-year time-frame (1999-2008).

It was found that regional effects, in terms of relative importance, explain approximately 9 percent of the variance in firm performance. This pattern of results is consistent when the analysis was conducted during periods of increasing or decreasing profits, firm type, and ownership structure.

Within the context of international business, work on regional strategy/regionalization has emerged as a separate stream of literature. This study is one of the first to quantify the influence of regional effects on performance using a 4-level HLM model. Additionally, this paper demonstrates the application of a 4-level model, potentially increasing awareness of this technique and usage in other multilevel topics in the IB literature, which offers several avenues for future research.

To investigate the association between country-level differences in childcare enrollment, the presence of affirmative action policy, and female parliamentary representation and individual-level conflict between work and family.

This study applies data from the 2002 International Social Survey Program (n = 14,000 + ) for respondents in 29 countries and pairs them with macro-level measures of childcare enrollment, the presence of affirmative action policy, and female parliamentary representation. I estimate the model using hierarchical linear modeling (HLM 7) and also assess cross-level interactions by gender and parental status.

The models show that female parliamentary representation has a robust negative association with individual-level reports of work–family and family–work conflict. These associations do not vary by gender or parental status. Also, mothers report less family–work conflict in countries with more expansive childcare enrollment, indicating that this welfare policy benefits the intended group.

This research implies that greater female parliamentary representation has widespread benefits to all citizens’, rather than just women’s or mothers’, work–family and family–work conflict. Additional longitudinal research would benefit this area of study.

This research suggests that increasing female parliamentary representation at the country-level may promote work–life balance at the individual-level. It also indicates that public childcare enrollment benefits women through lower family–work conflict which may encourage continuous maternal labor force participation and reduce economic gender inequality.

This chapter builds on an emerging area of work–family research applying multilevel modeling to draw empirical links between individual work–family experiences and macro-level structural variation.