Search results

Focal service providers increasingly involve customers in the decision-making about outsourcing parts of the service delivery process to third parties. The present study investigates how customers' outsourcing decisions affect the formation of the waiting experience with the focal service provider, by which the objective waiting time, environmental quality and interactional quality act as focal drivers.

To test our hypotheses in the context of cancer care, we gathered process data and experience data by means of a patient observation template (n = 640) and a patient survey (n = 487). The combined data (n = 377) were analyzed using Bayesian models.

This study shows that opting for a service triad (i.e. outsourcing non-core services to a third party) deduces customers' attention away from the objective waiting time with the focal service provider but not from the environmental and interactional quality offered by the focal service provider. When the type of service triad coordination is considered, we observe similar effects for a focal service provider-coordinated service triad while in a customer-coordinated service triad the interactional quality is the sole experience driver of waiting experiences that remains significant.

By investigating the implications of customer participation in the decision-making about outsourcing parts of the service delivery process to third parties, this research contributes to the service design, service triad and service operations literature. Specifically, this study shows that customer outsourcing decisions impact waiting experience formation with the focal service provider.

The investment development path of emerging markets’ MNEs is significantly different from the developed (TRIAD) world’s MNEs; BRIC MNEs seem to have taken a different trajectory on account of various political and economic reasons, ranging from the ‘forms of entry’ to ‘country-specific advantages’ (Tulder, R. V. (2010). Toward a renewed stages theory for BRIC multinational enterprises? A home country bargaining approach. In K. P. Sauvant, G. McAllister, & W. A. Maschek (Eds.), Foreign direct investments from emerging markets: The challenges ahead (pp. 61–74). New York, NY: Palgrave Macmillan). Yet, some believe that in the long run the internationalization strategy of the developed world MNEs and BRIC MNEs will converge. Internationalization strategies as measured by OFDI depend on various macroeconomic determinants such as income, interest rate, openness of the economy, etc. The chapter intend to highlight, the significant difference between these two groups of countries on account of diverse political reforms towards internalization of firms, yet see if these different countries might converge.

Regression analysis examines the significance of the role of home government by testing the effect of governance indicators; that is voice and accountability, on OFDI. It further, tests for convergence of internationalization strategies of the two historically divergent groups, also, it tests convergence amongst the BRIC nations. Along with forecasting, time series analysis is also employed to examine convergence using univariate sigma convergence techniques.

Impact of voice and accountability is significant but it hinders OFDI for BRIC nations, while it promotes OFDI for TRIAD & ALL. Moreover, the analysis found the existence of convergence, that is BRIC will catch up with TRIAD, but though convergence exists amongst BRIC if we take a long span of time (45 years), it is absent in short span of time (19 years), as lately BRIC have shown divergent tendency.

Small sample size in multivariate regression analysis. Also, the governance indicator, that is voice and accountability, is perception based, and missing gaps in data for governance indicator is filled using interpolation.

Empirically testing the convergence of BRIC nations with the developed world. A univariate time series analysis is undertaken to understand each country’s heterogeneous FDI outflows and to address the research gap in existing forecasting literature. In addition, the comparison specifically between the Emerging Market Economies, that is the BRIC nations and the developed world gives some useful insights. This chapter ascertains the impact of governance indicator on OFDI; empirical literature shows such analysis for IFDI & FDI, but OFDI is rarely been dealt with.

A nation's economic development is adversely affected by the rising population and the lack of employment opportunities, necessitating the promotion of entrepreneurial activities. This study aims to unfurl the critical factors shaping university students' entrepreneurial intentions (EI) in an emerging economy.

The study assessed the EI of 640 university students across India's top 5 central universities through structural equation modeling by extending the entrepreneurial event model (EEM) and dark triad theory. Mediation and moderation techniques were used to examine the model's direct and indirect linkages.

The results show that propensity to act (PTA), perceived resilience (PRS) and narcissism (NAR) magnify desirability, significantly increasing students' EI. The association between the underlying constructs is partially mediated by the PTA and perceived desirability (PD). In addition, the linkage between PD and students' EI is strengthened by the pursuit of excellence (PoE) and weakened by perceived risk (PR).

The study's findings could assist educators, universities, aspiring entrepreneurs, financial institutions, policymakers, investors, venture capitalists, incubators and accelerators in reinforcing entrepreneurial culture in India by establishing a link between crucial personality traits and intentions to start entrepreneurial ventures.

Personality traits such as NAR, resilience and the PoE have not received much attention in the entrepreneurship literature and call for a rigorous inquiry. The study tries to embrace these dominant personality traits by broadening the perspectives of EEM and dark triad theory via a comprehensive conceptual model. It also explores the role of the PoE and PR as moderators to examine the possible association between the identified constructs.

This paper seeks to use a multi‐disciplinary approach to analyze past and present economic and social explanations for development phenomena. A number of key factors may be missing from the current paradigm.

Comparative country surveys of corruption, ownership, freedom, and individualism are analyzed and discussed. Measurements on nine separate indices are evaluated for 97 nations. These interact to form a model labeled the Triad of Strains with three composite axes: ownership‐responsibility, freedom‐actualization, and control‐corruption.

Three theses are suggested from the comparative analyses: without ownership there can be no responsibility, freedom and responsibility go hand‐in‐hand, and unwise use of political control severely undermines economic development.

Limitations include unavailable data for key areas such as North Korea.

Implications are that development policies should promote meaningful private ownership and personal freedom.

This research explores how ownership and freedom critically impact prosperity and provides a more complete, multi‐disciplinary framework for economic development.

The delineation of the different international market‐entry decision models serves to inform international managers of the different alternative courses of action open to them. The entire spectrum of decisions emerging from short‐term to long‐term considerations, in addition to micro‐related decisions, are discussed. This paper evaluates the importance of these alternative courses of action and their decision criteria.

This study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.

Eight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.

The empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.

The extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.

Similar to other parts of the United States, its southern region is still wrestling with the implications of the resegregation of America’s schools. Unlike other parts of the country, however, the Deep South demons are rooted in a vastly different historical context. This chapter offers an historical analysis of the educational problems in the Deep South, with strong emphasis on gifted programming. Further, in this chapter, we present and describe a framework that could guide educators as they strive to identify giftedness among children of color and implement programming in a culturally responsive manner.

The purpose of this study is twofold. First, it aims to explore the link between the industry 4.0 technologies, supply chain emergence and their resulting impact on relational performance in the transitive service triads. Second, the study also seeks to recognize the role of supply chain emergence as a mediator between the industry 4.0 technologies and relational performance.

Grounded in the complex adaptive system theory and supply chain practice view, the author developed an empirical model, estimated through survey-based research. Data derived from 350 transitive service triads were fed into the partial least squares structural equation model to test the research hypotheses.

The results of the study indicate that the industry 4.0 technologies have a positive effect on supply chain emergence in the transitive service triads. Likewise, the research demonstrates that supply chain emergence has a positive effect on relational performance in triads. When estimating the model mediation, the author also found that supply chain emergence fully mediates the relationship between the industry 4.0 technologies and relational performance.

First, it would be worthwhile to consider a detailed investigation of the effect of specific industry 4.0 technologies to obtain self-organization of actors and emergence. Moreover, it would also be interesting to further develop the methods for investigating variation in relational performance across the entire range of performance in triads. Finally, although the issue of relational performance has been relatively well explored within a dyadic setting, the author suggests pursuing the investigation on relational performance at the triadic level.

This study contributes to the theory of supply chain management and provides significant managerial implications on the role of the industry 4.0 technologies in obtaining supply chain emergence and producing relational performance in the transitive service triads.

This study considers transitive service triads, which consist of three dyads formed by three actors: supplier, logistics service provider and customer, who remain directly linked by one or more of the upstream and downstream flows of products, information and finances. This paper aims to explore the link between information governance, decentralized information technologies and supply chain self-organization, and their resulting impact on network performance in the transitive service triads.

Drawing upon the tenets of the theory of complex adaptive systems and supply chain practice view, this paper involves an empirical investigation that uses survey data gathered from transitive service triads in the European countries. The study uses partial least squares structural equation modeling to estimate the formative-reflective hierarchical component model and test the research hypotheses.

Information governance defines how supply chain information flows are controlled, accessed and used by a focal organization and its business partners. As empirically evidenced in this study, it can be depicted as a latent construct consisting of three distinct dimensions of information custody, information ownership and right to data access. Likewise, the study also indicates that supply chain self-organization, as a second-order construct, consists of three interactive self-organization actions undertaken by specific firms participating in the triadic arrangement. Supply chain self-organization is thus produced by firms that are reciprocally interrelated and interacting, having effects on one another. Furthermore, the study also highlights that information governance creates an environment for applying decentralized information technologies, which then positively affects supply chain self-organization. Finally, the research also empirically operationalizes the construct of network performance within the transitive service triads.

Although the results provide several major contributions to theory and implications for practitioners, the study still demonstrates some methodological constraints. Specifically, although the study uses a relatively large research sample of 350 transitive service triads, it still focuses only on a selected group of industries and is limited to investigating solely a particular type of service triads.

Given the increasing interest in investigating triads, this study examines how information governance and decentralized information technologies support supply chain self-organization to yield network performance in transitive service triads.

The purpose of this paper is to describe a qualitative action research study into the collective experiences of establishing a mentoring culture within a research triad consisting of a university professor together with a doctoral student and a master's level student who served as research assistants (RAs). This paper documents a process of ongoing reflection, which was used to gain insight about the personal selves, the professional selves, the role of being a RA, and concepts, ideas, and frameworks that might be useful in fulfilling the work inside and outside of the collaborative research project.

A Faculty of Education within a Canadian university provided the context for the study. A large-scale, pan-Canadian document analysis research project served as the context for mentorship activities. The Adaptive Mentorship© model (Ralph and Walker, 2010) was the tool used to document and analyze experiences of working on the research project. Completion of individual mentoring session reflections, as recommended by the Adaptive Mentorship© model, provided a means for documenting the process and experiences within the triad.

Findings indicated that the enhancement of working environment and the professional growth of all three members of the research triad were primarily achieved as a result of the commitment to collaborative mentoring for the duration of this project rather than as a direct result of application of the model. Nonetheless, the application of the Adaptive Mentorship© model within the research project triad proved to be a valuable tool for supporting the social competence-based and experiential needs.

In the context of this study, collaborative mentoring led to professional growth and an enhancement of the working environment due to multiple contact-points and exposures to specific tasks or skill-sets. The establishment of the mentoring culture and continued identification of individual needs within the triad allowed for adaptive support, appropriate skills development, and an increase in confidence necessary for both students to be successful in their RA positions and in turn, successfully support the university professor to complete the project. The experience suggests that the Adaptive Mentorship© model, if further refined, could be applied to graduate RAships with multiple participants, increasing the potential to enhance research experiences through its focus on one or several specific tasks or skill-sets around which the work is organized.