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Recent studies have highlighted the importance of adopting a contingency approach to configuring omnichannel warehouses. Nonetheless, research on how various contextual factors influence the selection of warehouse configuration is scarce. This study fills this knowledge gap by exploring how and why certain configurations fit in different omnichannel contexts.

A case study is conducted with six leading Swedish omnichannel retailers. Focusing on outbound warehouse configurations, data are collected through interviews, on-site observations, and secondary sources. A multistep analysis is made, including both pattern matching and explanation building.

The qualitative analysis reveals 16 contextual factors, of which assortment range, requested online order fulfillment times, goods size and total transactions are the most influential. The study shows how contextual factors create different challenges, thereby influencing the choice of the configurations. In addition to market dynamics and task complexity, the study describes four categories of the factors and related challenges that are particularly important in omnichannels: speed, space, economies of scale and tied-up capital.

The findings highlight the importance of understanding context and imply that multiple challenges may require trade-offs when selecting configurations, for example, regarding what storage, processes and resources to integrate or separate. To confirm, extend, challenge and further operationalize the ideas and observations put forward in this paper, an agenda with future research issues is given for this accelerating, contemporary phenomenon.

Managers could leverage the frameworks proposed for the contextual profiling of their current and future positions. The frameworks provide support for understanding the important challenges and potential trade-offs and developing aligned configurations.

This study is original in the way it provides in-depth, case study findings about contextual factors and their influence on omnichannel warehouse configuration.

The significant contribution and relevance of Comparative and International Education (CIE) mainly depends on how closely it studies the interplay between society and education, considering what is dubbed as the global and the local. Many CIE studies including critical reviews seems to dwell on the topic, purpose, conceptual, and methodological aspects of the field, magnifying what appears to be the global. Our understanding of the role particular sociocultural, economic, and political contexts play in education seems inconclusive. Using appropriate analytical frameworks that delineate society–education dynamics, this study further problematizes the comparative and international elements of CIE area studies, with a focus on context analysis. The critical review considers area studies published over the last seven years in leading CIE journals and answers this question: How and to what extent do CIE area studies operationalize context analysis? The aim is not so much to bring consensus but to further highlight tensions and issues in conducting context-sensitive comparative and international education studies. The findings indicate that CIE research over the last seven years does not seem to live up to the expectation of producing meaningfully contextualized knowledge. The role of context analysis in CIE research seems ill defined and practiced. Alternative explanations for this and considerations for further scholarship are discussed.

This chapter sets forth a form of comparative analysis that is explicitly organizational, in the sense that it uses cross-level, contextual or compositional, analysis to explain organizational-level observations, especially comparisons between organizations. Inter-organizational comparisons often surface paradoxical results, in the form of unexpected differences among similar kinds of organizations, or unexpected similarities among different kinds of organizations. The value of using comparative analysis in these cases is that the information required to unravel organizational-level puzzling results is often located at a higher or lower levels. The proposed form of comparative analysis thus extends the conventional top-down, unidirectional form by adding a bottom-up component – making it bi-directional. In addition to introducing an organization-centered form of comparative analysis, the chapter offers suggestions for its practice and speculates about the potential benefits of its broad application within organizational studies.

Performance-based contracting (PBC) links pricing with performance objectives in service business relationships. Although interest in PBC has surged recently, there is still great uncertainty about the risks, opportunities and challenges. This paper aims to provide a deeper understanding of the contextual factors of PBC and how providers assess them.

This paper includes conducting a multiple-case study evaluation and analyzes data from 21 cases. Risks, opportunities and contextual factors are identified through interviews, and the case data are analyzed with several methods, including Borda count and cross-tabulation.

The results show that the most important factors of PBC are clear responsibilities, clear performance indicators, transparent measurement, cooperative culture and a precise utilization profile of core assets. Surprisingly, incentives are of minor perceived relevance. The analysis supports the differentiation of PBC into two subcategories: lean (low integrated) and customized (high integrated) PBC.

While many studies stress the uniqueness of PBC in accordance with the “one-size-does-not-fit-all” mantra, this research differentiates the standardized PBC from a customized one. The findings face the limitations of case study research and qualitative data analysis in general.

Practitioners are provided with guidance to develop either a customized or a standardized PBC.

Previously, broader empirical insights have still been rare; thus, this paper contributes to the PBC literature, as it provides data from multiple cross-industry cases. The findings (e.g. the minor relevance of incentives) stand in contrast to parts of the academic literature and contribute also to the wider service management field.

By integrating organizational support theory (OST) and social cognitive theory, this study investigates types of managers' coaching behavior as experienced by the employees. Furthermore, the study examines whether employees would exhibit greater task and contextual performance when organizational learning is blended with a specific coaching behavior of their manager.

Using primary data from 298 software engineers working in select information technology companies across India, the current study attempts to assess moderating effect of managers' coaching behavior in two relationships, including continuous learning and employees' task performance (CL-TP) and continuous learning and employees' contextual performance (CL-CP).

Result of exploratory factor analysis suggests that managers of select organizations exhibit two major types of coaching behavior: inspiration-based coaching behavior and facilitation-based coaching behavior. On the moderating role of coaching behavior, it is documented that facilitation-based coaching behavior significantly positively moderates both stated (CL-TP and CL-CP) relationships, whereas inspiration-based coaching behavior of supervisors has positive significant effect on CL-TP relationship but negatively moderates the CL-CP relationship.

The extent to which the findings of this study can be generalized is constrained by the limited sample and organizational context.

The most important managerial implication for all learning organizations is that both kinds of coaching behaviors help improving the task performance of the employees, but managers should prefer facilitation-based coaching style in order to generate higher contextual performance of employees.

This study contributes to practitioners and existing literature by explaining how individual performance of employees is affected by the investment made by organizations in facilitating continuous learning.

This paper aims to identify the aspects that social actors consider in constructing shared futures in communities. In their application in emerging countries, especially in the Global South, the socio-cultural particularities of communities and actors are often overlooked, generating friction or social conflicts. This paper presents two critical elements contributing to the debate: the importance of understanding Social Actors within a model of generating community futures in emerging countries; and the relevant factors that influence the actors in an exercise of building futures in communities.

From qualitative research, a case study of community foresight of the future was used: the future of Puerto Gaitán 2037 (Meta, Colombia). A method of information collection was applied from observation of the participants and analysis of documentation. The analysis method was the deductive qualitative analysis (DQA).

The participation of the social actors presents a model of five relevant elements that influence the actors for the successful construction of futures in communities. The first four factors, revealed from theory, are presented in real life. Likewise, a fifth factor is proven, Long-term thinking, which is evidenced by a model of application of futures studies for the specific context, applicable to the case of communities in countries of the Global South.

Although there are isolated examples of recommendations regarding studies to generate the future of communities, to the best of the author’s knowledge, this is the first study that presents concrete factors that contribute to guiding the construction of community futures from social actors, especially in countries of the Global South such as Colombia. It is also one of the first studies to use the DQA as a method of analysis in a topic of futures studies.

The purpose of this paper is threefold: first, to test the role of the managerial team’s commitment to quality deployment, quality performance and firm performance; second, to shed light on the effects of a certified quality management system on this chain; and third, to analyze the effects of changes in this chain on different management team attitudes, namely, innovativeness.

Based on a survey conducted in a sample of 370 hotels from the region of Madrid (Spain), the model and hypotheses were validated using structural equation modeling analysis.

The results reveal the importance of a commitment to quality for quality deployment. In addition, quality deployment has a strong impact on operations and employee and customer performance. However, only impacts derived from customers’ perceptions of service quality affect firm performance. In addition, a contextual analysis was performed to verify whether various contextual factors (certification in a quality management standard and the innovative attitude of the management team) could modify the previously obtained results for the full sample.

The management team should understand that its attitude toward quality management could affect the company’s overall performance. On the one hand, the team should be aware that the cost of implementing quality practices could be a burden for employees in the performance of their daily activities. On the other hand, there is a positive relationship between involvement in addressing customers’ requirements and financial performance. Therefore, a balance between the efforts to maintain a certain level of quality by the firm’s employees and the service quality offered to the customers is crucial to achieving better financial performance.

The impact of the implementation of quality management practices on performance has been widely studied; however, the role of intangible factors has not been commonly discussed in service industries in general and even less so in the hospitality sector. This paper analyses the influence of the quality management team’s attitudes toward innovativeness and the implementation of a quality management standard.

The purpose of this paper is to present a methodology of comparing concession projects developed in different transport sub-sectors. The methodology is tested in the comparison of three different cases, each of which represent a particular mode of transport: a road development project, a city tramway project and a port lock construction initiative.

A fuzzy logic approach methodology is applied in carrying out the comparison between cases. Granulation is achieved by employing a Contextual (Ws) Risk Analysis Framework, as risks constitute the basis to public private partnership (PPP) structure. Linguistic variables are then used to describe the comparative findings.

The methodology presented allows for the comparison of three cases from different transport sub-sectors. Identification of similarities provides the potential to transfer experience from one sector to the other. With respect to the three cases studied, it was identified that traffic risk seems to be passed on to the private operators in relation to the level of exclusivity. Finally, PPP projects initiated by central government (as opposed to those initiated by local governments) seem to be more finance-driven than service-driven.

As the number of cases to be compared increases, quantitative comparative analysis fuzzy set values can be included in order to carry out a full analysis. The present approach should be considered introductory, as fuzzy sets are not generated due to the limited number of surveys (cases) compared (hence the term “pre-fuzzy”).

The methodology presented and the cases tested indicate the possibility for knowledge/experience transfer and the transferability of best practices.

Cross-sub-sectoral comparisons for transport PPP projects have not been identified in literature.

This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment analysis works by collecting sentiment scores from each unigram or bigram. However, not every unigram or bigram in a WOM document contains sentiments. Chinese collocations consist of the main sentiments of WOM. This paper reduces the complexity of the document dimensionality and makes an improvement for sentiment classification.

This paper builds two contextual lexicons for feature words and sentiment words, respectively. Based on these contextual lexicons, this paper uses the techniques of associated rules and mutual information to build possible Chinese collocation sets. This paper applies preference vector modelling as the vector representation approach to catch the relationship between Chinese collocations and their associated concepts.

This paper compares the proposed preference vector models with benchmarks, using three classification techniques (i.e. support vector machine, J48 decision tree and multilayer perceptron). According to the experimental results, the proposed models outperform all benchmarks evaluated by the criterion of accuracy.

This paper focuses on Chinese collocations and proposes a novel research approach for sentiment classification. The Chinese collocations used in this paper are adaptable to the content and domains. Finally, this paper integrates collocations with the preference vector modelling approach, which not only achieves a better sentiment classification performance for Chinese WOM documents but also avoids the curse of dimensionality.

Multilevel approaches are generally well suited to group communication because what people say and do in groups is a function of intra- and trans-individual mechanisms. This chapter first provides a brief overview of group research as a multilevel problem and then describes more modern approaches to modeling nested data using latent variable models, including multilevel structural equation modeling and latent class analysis. The chapter concludes by addressing conceptual opportunities provided by multilevel latent modeling approaches to group communication.