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This paper aims to demonstrate how and why holistic thinking mitigates the negative impact of large assortments on satisfaction.

Five between-subject experiments demonstrate the mitigating role of holism on choice overload across a variety of contexts.

While large assortments create overload feeling, holistic thinking mitigates the negative impact of overload feeling on satisfaction for both chronic (Studies 1a and 1b) and decision-specific (Studies 1b and 1c) holistic thinkers, as well as those who adopt a more holistic thinking style because of the decision goal (Study 2) or incidental priming (Study 3).

This paper introduces a new moderator of choice overload effects – holistic thinking – and shows how it mitigates the negative indirect effect of assortment size on satisfaction. This paper contributes to the literature on assortment size effects and shows that even when assortment size increases overload feeling, this negative impact of assortment size can still be reduced.

Marketers with large assortments can reduce the negative impact of overload feeling and increase satisfaction by promoting the hedonic features of the products and encouraging holistic thinking. Similarly, consumers can reduce the negative impact of overload feeling by approaching their consumption more holistically either because of their individual traits or situational factors.

This research contributes a new moderator to the choice overload literature: holistic thinking. In doing so, it adopts a broader consideration of the decision-making process underlying overload effects and pinpoints how (i.e. by which path) holistic thinking mitigates the negative impact of large assortments.

Integrating conceptual perspectives from social exclusion, thinking style and context effects, this study aims to examine how different types of social exclusion influence attraction and compromise effects.

Eight studies were conducted. To establish the causal relationship between social exclusion types and context effects, this study uses experimental designs in all studies.

The attraction effect is stronger when consumers feel rejected than ignored, whereas the compromise effect is stronger when they feel ignored than rejected. Consumers who feel rejected increase their propensity to think holistically, which in turn leads to their choice preferences for asymmetrically dominant options. Conversely, those who feel ignored increase their propensity to think analytically, which in turn leads to their choice preferences for compromise options.

The findings show that consumer preferences for one option over the other alternatives in choice contexts are susceptible to subtle differences in the manner that exclusion is communicated. The studies are limited to recall tasks and scenarios that previous research has shown to be effective. Future research may use actual exclusion to corroborate this study’s findings.

Marketing practitioners may benefit from this study’s findings when it comes to an increase in the relative share of their target brand against their competitor brands by introducing a third option.

To the best of the authors’ knowledge, this research is the first to provide evidence that exclusion communicated in an explicit manner produces the attraction effect, whereas exclusion communicated in an implicit manner produces the compromise effect. Given that threatening situations often influence individuals’ preferences and choices, how social exclusion shapes cognitive processes is an empirical question worthy of investigation.

There have been plenty of emergencies occurred in tourism all over the world in recent years. These events and disasters have brought the tourists and relevant organizations enormous loss of life and property. The main reasons are the lack of holistic coordination among different departments and response for social responsibility. In the process of prevention and response of tourism emergency, the local governments need to take synergic action. Meanwhile, the positive participation in the tourism emergency rescue is one of the ways to share social responsibility. This paper aims to examine the early-warning management of regional tourism emergencies, in order to minimize the loss on both tourists' life and money, from the perspective of systematic thinking.

The paper establishes a regional tourism emergency response model based on holistic assessment approach and Bayesian network technology. It analyzes most critical factors of regional tourism emergency and the mutual influence among them. Thereafter, it employs the Bayesian network technology to assess the influence of several factors on the final magnitude of casualties holistically. Based on this, the paper proposes the response principle and the response process to regional tourism emergency.

This paper constructs the “FRES” principle about the holistic response to regional tourism emergency, including “fulfillment of social responsibility”, “rapid action”, “experience accumulation” and “synergic response”. Based on this principle, the paper suggests a general process on the holistic response to regional tourism emergency. Finally, the paper takes the mudslides emergency in Taiwan on October 23, 2010 as an example to conduct an empirical analysis. The paper gives an optimal holistic solution to the responding process of this event in the light of the “FRES” principle.

This paper explains the social responsibility related to the regional tourism emergencies and employs the Bayesian network technology to analyze the systematical responding process to tourism emergency. It proposes originally a “FRES” principle and a general process on the response to regional tourism emergency which are proven to be effective in systematical response to regional tourism events. The research results can facilitate the various local governments to jointly fulfill their social responsibilities and optimize the management of regional tourism emergencies in a holistic way.

The purpose of this paper is to explore a better understanding of Holistic Debriefing processes from a learning perspective.

During a terror attack in which 69 people were killed and 66 were wounded, a Search and Rescue crew experienced “fear of death” while giving life-saving help to victims of the attack. Afterwards, the crew conducted a Holistic Debriefing. The crew participated in interviews to share their experience of this type of debriefing.

The findings from the Holistic Debriefing sessions suggest that the debriefing process was experienced as positive in terms of social support, emotions and meaning. These experiences are further explained from a learning perspective.

This research was conducted on a small group of individuals experiencing an extreme situation, and findings may not readily generalize to other populations or situations.

Holistic Debriefing has been adopted by an increasing number of squadrons in the Norwegian Air Force.

Holistic Debriefing has been implemented at the Norwegian Air Force Academy, and may be relevant for other units involved in similar operations.

This study is unique when it comes to exploring Holistic Debriefing of rescue personnel in the aftermath of a terror attack. Moreover, Holistic Debriefing is also addressed as a reflection process in order to enhance individual and group learning processes.

The purpose of this study is to examine whether implicit bias exists within the graduate admissions process at a large public research university in the Southeast United States. Additionally, this research sought to identify the type of strategies graduate faculty in the USA use to assess their implicit bias and the support they may need to better recognize and gauge implicit bias during the graduate application review process.

This study used the use of a qualitative, phenomenological research design by conducting individual interviews with graduate faculty members that serve on admissions committees.

The findings revealed six themes in relation to the purpose of the study – bias recognition, faculty perceptions of their own bias, faculty perceptions on the bias of others, strategies for the application review process, admission committee safeguards and the need for implicit bias training.

The study outcomes are discussed in relation to the prior research and literature on this phenomenon. Additionally, the study presents research and practical implications, including actionable strategies for how its results can be practically applied.

The purpose of this paper is to propose Extensible Markup Language (XML) data partitioning schemes that can cope with static and dynamic allocation for parallel holistic twig joins: grid metadata model for XML (GMX) and streams‐based partitioning method for XML (SPX).

GMX exploits the relationships between XML documents and query patterns to perform workload‐aware partitioning of XML data. Specifically, the paper constructs a two‐dimensional model with a document dimension and a query dimension in which each object in a dimension is composed from XML metadata related to the dimension. GMX provides a set of XML data partitioning methods that include document clustering, query clustering, document‐based refinement, query‐based refinement, and query‐path refinement, thereby enabling XML data partitioning based on the static information of XML metadata. In contrast, SPX explores the structural relationships of query elements and a range‐containment property of XML streams to generate partitions and allocate them to cluster nodes on‐the‐fly.

GMX provides several salient features: a set of partition granularities that balance workloads of query processing costs among cluster nodes statically; inter‐query parallelism as well as intra‐query parallelism at multiple extents; and better parallel query performance when all estimated queries are executed simultaneously to meet their probability of query occurrences in the system. SPX also offers the following features: minimal computation time to generate partitions; balancing skewed workloads dynamically on the system; producing higher intra‐query parallelism; and gaining better parallel query performance.

The current status of the proposed XML data partitioning schemes does not take into account XML data updates, e.g. new XML documents and query pattern changes submitted by users on the system.

Note that effectiveness of the XML data partitioning schemes mainly relies on the accuracy of the cost model to estimate query processing costs. The cost model must be adjusted to reflect characteristics of a system platform used in the implementation.

This paper proposes novel schemes of conducting XML data partitioning to achieve both static and dynamic workload balance.

The literature on product design/development (PD) has attempted to understand the consumer but has not provided a comprehensive framework for product marketers and designers. Thus, this paper aims to compile and link the main topics in the literature on PD to create a foundation for strategic development in this field.

This research adopted a “fit-for-purpose” methodology, a cross-referencing method and a meta-narrative approach that are appropriate for reviewing studies in a field involving complex topics and areas in which the literature is still developing.

To enhance the quality of product development, there is a need for PD strategy based on a clear understanding of many factors: the consumer; the complex interrelations among a product’s values, dimensions and personalities; PD theories; and other related variables.

This study found that PD studies should concentrate more on codifying strategies to enhance product development success. This is particularly important in view of consumers’ varied and changeable tastes in the global market and the differing insights of product marketers and designers.

This comprehensive systematic review is a unique study that contributes to future business-to-consumer and business-to-business research by compiling scattered and hidden strategies, theories and variables in the PD/development literature.

There has been growing interest in the use of a variety of interpretative approaches to researching in the field of information systems. This type of research typically applies social theory to help develop an in‐depth interpretation of some of the features and characteristics of phenomena, which relate in some way to the application of information technology, its development or related policy‐making issues. While there are attempts at developing the “rigour” or “validity” of the process of interpretation, there are no holistic criteria or benchmarks by which this type of research can be evaluated. This paper uses an evaluation framework (NIMSAD), taken from the action research domain, in order to help benchmark interpretative research processes. This framework is used as a way of providing a benchmark dimension to the evaluation of the process of interpretative research in information systems.

The purpose of this paper is to review the literature on customer experience to develop a better understanding of the concept and propose a research agenda.

The paper is based on a thorough review of 69 full-text articles, 12 books and one published dissertation related to customer experience.

The review describes the relevance of experiential perspective, service experience and customer experience to attract, delight and retain customers. Customer experience is regarded as a holistic interactive process, facilitated through cognitive and emotional clues, moderated by customer and contextual characteristics, resulting into unique and pleasurable/un-pleasurable memories. The study provides a deeper understanding of the concept and research issues for customer experience.

It provides important insights into the emergence, development, management and measurement of customer experience-related issues for future research.

Customer experience needs to be considered and managed as a holistic strategic process for creating customer value, differentiation, customer satisfaction, loyalty and competitive advantage.

The study contributes to the understanding of customer experience and research agenda based on a thorough review of literature spanning 25 years.

This research aims to investigate how preference for marketing research methodology (quantitative vs qualitative) is contingent on the thinking orientation (analytic vs holistic) of the researchers.

Thinking orientation was measured and then manipulated in laboratory experiments. Cross-cultural evidence was sought by comparing Western and East Asian participants.

Results demonstrate that researchers with an analytic (holistic) thinking orientation tend to perceive quantitative (qualitative) methodology more favorably. Further, the need to offer reasons in support of the choice strengthened the effect of thinking orientation.

Understanding researchers’ preferences for one research methodology over the other has broad relevance for external constituents, as it involves a great deal of managerial commitment in terms of time and money and can affect the results of the research.

This is the first study to investigate factors that underlie researchers’ choice regarding research methodology, and it also extends the literature on analytic versus holistic thinking orientation in the marketing field.