Editorial: the changing nature of data

2016 ◽  
Vol 30 (7) ◽  
pp. 673-675 ◽  
Author(s):  
Steve Baron ◽  
Rebekah Russell-Bennett
Keyword(s):  
Design Methodology ◽  
Services Marketing ◽  
Data Sources ◽  
Service Research ◽  
Data Sets ◽  
Data Handling ◽  
Large Problem ◽  
Content Type ◽  
Innovative Methods ◽  
Existing Data

Purpose The purpose of this paper it to highlight the challenges of managing and handling data for services marketers that have been brought about by the contemporary environment and emerging schools of thought. Design/methodology/approach A comparison is made between conventional data collection and statistical analysis, and the need to glean information from large, pre-existing data sets for future contributions to service research. Findings For service marketers to tackle real world, large problem areas, there will be a need to develop methods of dealing with data which pre-exist in many forms, as well as data that are collected via well-established procedures. Originality/value The study should be an encouragement for services marketing researchers to develop innovative methods of data handling which recognize a world of burgeoning data sources and types.

scholarly journals Text mining analysis roadmap (TMAR) for service research

2020 ◽  
Vol 34 (1) ◽  
pp. 30-47 ◽  
Author(s):  
Mohamed Zaki ◽  
Janet R. McColl-Kennedy
Keyword(s):  
Machine Learning ◽  
Text Mining ◽  
Design Methodology ◽  
Data Sources ◽  
Theory Testing ◽  
Service Research ◽  
Data Types ◽  
Content Type ◽  
Research And Practice ◽  
Mining Methods

Purpose The purpose of this paper is to offer a step-by-step text mining analysis roadmap (TMAR) for service researchers. The paper provides guidance on how to choose between alternative tools, using illustrative examples from a range of business contexts. Design/methodology/approach The authors provide a six-stage TMAR on how to use text mining methods in practice. At each stage, the authors provide a guiding question, articulate the aim, identify a range of methods and demonstrate how machine learning and linguistic techniques can be used in practice with illustrative examples drawn from business, from an array of data types, services and contexts. Findings At each of the six stages, this paper demonstrates useful insights that result from the text mining techniques to provide an in-depth understanding of the phenomenon and actionable insights for research and practice. Originality/value There is little research to guide scholars and practitioners on how to gain insights from the extensive “big data” that arises from the different data sources. In a first, this paper addresses this important gap highlighting the advantages of using text mining to gain useful insights for theory testing and practice in different service contexts.

Service research: progress toward interdisciplinary collaboration

2020 ◽  
Vol 34 (3) ◽  
pp. 363-371
Author(s):  
G. Tomas M. Hult ◽  
Travis A. Walkowiak ◽  
Jonathan M. Beck
Keyword(s):  
Design Methodology ◽  
Interdisciplinary Collaboration ◽  
Services Marketing ◽  
Research Progress ◽  
Service Research ◽  
Content Type ◽  
Research Areas ◽  
Key Concepts ◽  
Prior Literature ◽  
Unique Framework

Purpose The purpose of this paper is to promote a broadened view of service research and to demonstrate a path for integrating interdisciplinary perspectives with services marketing. Design/methodology/approach Two major streams of service literature are reviewed, highlighting key conceptual developments in each. Through synthesis of prior literature, a research framework and agenda are developed. Findings The findings indicate that major service research areas have been extensively explored, yet service literature is fragmented on key concepts. This can make it challenging to collaborate across disciplines. This work develops a framework for integrating concepts across disciplines to foster more impactful work. Originality/value This work presents a unique framework for integrating interdisciplinary perspectives with services marketing. Moreover, a research agenda for the specific purpose of promoting collaboration across disciplines is presented.

scholarly journals Editorial: bringing socially unacceptable services into services marketing

2020 ◽  
Vol 34 (7) ◽  
pp. 885-887
Author(s):  
Mark Scott Rosenbaum ◽  
Rebekah Russell-Bennett
Keyword(s):  
Design Methodology ◽  
Well Being ◽  
Services Marketing ◽  
Service Industries ◽  
Service Research ◽  
Content Type ◽  
Societal Welfare ◽  
Personal Reflections ◽  
Practical Implications

Purpose This paper aims to define the term “socially unacceptable services” and call for novel research in these under-researched service industries. Design/methodology/approach Personal reflections. Findings Service offerings exist that, despite their ability to create value for customers, clients or partners, many in society at large deem to be offensive, inappropriate or harmful for a variety of reasons. Service researchers have ignored the existence and impact of socially unacceptable services on consumers and society for too long. Research limitations/implications Given the expanding role of the transformative service research (TSR) paradigm in the services marketing domain, especially given its emphasis on exchanges that influence consumer and societal well-being and the reality that many socially unacceptable services profoundly influence consumer and societal welfare in both positive and negative manners, the time is opportune for service researchers to begin exploring socially unacceptable services from a TSR perspective. Practical implications Given that buyers and sellers who enter socially unacceptable exchanges often seem satisfied by doing so, the authors encourage researchers to unearth how consumers obtain value from these exchanges and to explore whether consumers enter these exchanges with full information to make informed decisions. Originality/value This viewpoint is one of the first to provide authors with an impetus to begin research program in socially unacceptable services and offers researchers a list of potential research topics in this new area. The authors believe that socially unacceptable service research may emerge as a separate research paradigm.

scholarly journals mtDNAcombine: tools to combine sequences from multiple studies

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Eleanor F. Miller ◽  
Andrea Manica
Keyword(s):  
Sequence Data ◽  
Data Extraction ◽  
Bayesian Skyline Plot ◽  
Model Organisms ◽  
Data Sets ◽  
Data Handling ◽  
Online Database ◽  
Genetic Studies ◽  
Wide Range ◽  
Existing Data

Abstract Background Today an unprecedented amount of genetic sequence data is stored in publicly available repositories. For decades now, mitochondrial DNA (mtDNA) has been the workhorse of genetic studies, and as a result, there is a large volume of mtDNA data available in these repositories for a wide range of species. Indeed, whilst whole genome sequencing is an exciting prospect for the future, for most non-model organisms’ classical markers such as mtDNA remain widely used. By compiling existing data from multiple original studies, it is possible to build powerful new datasets capable of exploring many questions in ecology, evolution and conservation biology. One key question that these data can help inform is what happened in a species’ demographic past. However, compiling data in this manner is not trivial, there are many complexities associated with data extraction, data quality and data handling. Results Here we present the mtDNAcombine package, a collection of tools developed to manage some of the major decisions associated with handling multi-study sequence data with a particular focus on preparing sequence data for Bayesian skyline plot demographic reconstructions. Conclusions There is now more genetic information available than ever before and large meta-data sets offer great opportunities to explore new and exciting avenues of research. However, compiling multi-study datasets still remains a technically challenging prospect. The mtDNAcombine package provides a pipeline to streamline the process of downloading, curating, and analysing sequence data, guiding the process of compiling data sets from the online database GenBank.

Improving recommender systems’ performance on cold-start users and controversial items by a new similarity model

2016 ◽  
Vol 12 (2) ◽  
pp. 126-149 ◽  
Author(s):  
Masoud Mansoury ◽  
Mehdi Shajari
Keyword(s):  
Real World ◽  
Design Methodology ◽  
Cold Start ◽  
Selection Function ◽  
Data Sets ◽  
Real World Data ◽  
Content Type ◽  
User Similarity ◽  
Active User ◽  
Similarity Model

Purpose This paper aims to improve the recommendations performance for cold-start users and controversial items. Collaborative filtering (CF) generates recommendations on the basis of similarity between users. It uses the opinions of similar users to generate the recommendation for an active user. As a similarity model or a neighbor selection function is the key element for effectiveness of CF, many variations of CF are proposed. However, these methods are not very effective, especially for users who provide few ratings (i.e. cold-start users). Design/methodology/approach A new user similarity model is proposed that focuses on improving recommendations performance for cold-start users and controversial items. To show the validity of the authors’ similarity model, they conducted some experiments and showed the effectiveness of this model in calculating similarity values between users even when only few ratings are available. In addition, the authors applied their user similarity model to a recommender system and analyzed its results. Findings Experiments on two real-world data sets are implemented and compared with some other CF techniques. The results show that the authors’ approach outperforms previous CF techniques in coverage metric while preserves accuracy for cold-start users and controversial items. Originality/value In the proposed approach, the conditions in which CF is unable to generate accurate recommendations are addressed. These conditions affect CF performance adversely, especially in the cold-start users’ condition. The authors show that their similarity model overcomes CF weaknesses effectively and improve its performance even in the cold users’ condition.

Website traffic measurement and rankings: competitive intelligence tools examination

2018 ◽  
Vol 14 (4) ◽  
pp. 423-437 ◽  
Author(s):  
David Prantl ◽  
Martin Prantl
Keyword(s):  
Design Methodology ◽  
State Of The Art ◽  
Competitive Intelligence ◽  
Data Sets ◽  
Traffic Data ◽  
Content Type ◽  
Traffic Measurement ◽  
Data Estimation ◽  
Research Studies

PurposeThe purpose of this paper is to examine and verify the competitive intelligence tools Alexa and SimilarWeb, which are broadly used for website traffic data estimation. Tested tools belong to the state of the art in this area.Design/methodology/approachThe authors use quantitative approach. Research was conducted on a sample of Czech websites for which there are accurate traffic data values, against which the other data sets (less accurate) provided by Alexa and SimilarWeb will be compared.FindingsThe results show that neither tool can accurately determine the ranking of websites on the internet. However, it is possible to approximately determine the significance of a particular website. These results are useful for another research studies which use data from Alexa or SimilarWeb. Moreover, the results show that it is still not possible to accurately estimate website traffic of any website in the world.Research limitations/implicationsThe limitation of the research lies in the fact that it was conducted solely in the Czech market.Originality/valueSignificant amount of research studies use data sets provided by Alexa and SimilarWeb. However, none of these research studies focus on the quality of the website traffic data acquired by Alexa or SimilarWeb, nor do any of them refer to other studies that would deal with this issue. Furthermore, authors describe approaches to measuring website traffic and based on the analysis, the possible usability of these methods is discussed.

From service quality to experience – and back again?

2015 ◽  
Vol 7 (1) ◽  
pp. 107-119 ◽  
Author(s):  
Jon Sundbo
Keyword(s):  
Service Quality ◽  
Design Methodology ◽  
Service Management ◽  
Service Marketing ◽  
Service Research ◽  
Experience Economy ◽  
Content Type ◽  
The Past ◽  
Functional Quality ◽  
Original Contribution

Purpose – This paper aims to analyse the movement in the focus on customers within service management and marketing theories and service research that has taken place during the past three decades. The paper addresses the question: How did we, in service research, change from emphasizing quality to emphasizing experience? Design/methodology/approach – The paper analyses developments in service and experience theories. Experience has come onto the theoretical agenda, both in its own right and as a concept within service marketing and management theory. Findings – Experience has increasingly been a concept that has replaced quality in service marketing theories. However, an independent experience economy paradigm has also emerged. Recently, the societal emphasis on productivity may lead back to functional quality re-emerges in theories; however, it will most likely be in a new version. Originality/value – This analysis is a profound theory-critical analysis of the actually very widely used concept experience in service theories. The analysis present an understanding of what experience means in these theories and how it relates to the quality concept. This is an original contribution to a deeper understanding of service marketing and service quality theories.

Figures in the carpet of branding

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stephen Brown
Keyword(s):  
Subject Matter ◽  
Design Methodology ◽  
Services Marketing ◽  
Cautionary Note ◽  
Internal Branding ◽  
Content Type ◽  
Figures Of Speech ◽  
Analytical Tools

PurposeMany have noted the role of metaphor in branding understanding. More than mere decorative frills, tropes play a fundamental, foundational part in the process. The purpose of this comment is to consider some of the branding's core conceits and classifies them for scholarly convenience.Design/methodology/approachMetaphors, first and foremost, are figures of speech not analytical tools or techniques. Accordingly, the commentary adopts an appropriate literary approach to its subject matter. Reflective for the most part, it seeks to deconstruct and reconstruct simultaneously. Suggestion not stipulation is the aim.FindingsAfter scrutinising branding's figurative landscape, then focussing on several promising analogies, the commentary concludes with a cautionary note concerning internal branding. Metaphor is not all fun and games, nor the be all and end all of branding understanding.Originality/valueServices marketing possesses two powerful and deeply entrenched tropes – relationships and dramaturgy. Although this comment touches on both, particularly the former, it points out the plethora of figurative possibilities, some fresh, others familiar, that are available to brand managers and researchers both.

Quantifying human resource management: a literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Clotilde Coron
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Literature Review ◽  
Human Resource Management ◽  
Human Resource ◽  
Design Methodology ◽  
Theoretical Framework ◽  
Data Sources ◽  
Content Type

PurposeWith a focus on the evolution of human resource management (HRM) quantification over 2000–2020, this study addresses the following questions: (1) What are the data sources used to quantify HRM? (2) What are the methods used to quantify HRM? (3) What are the objectives of HRM quantification? (4) What are the representations of quantification in HRM?Design/methodology/approachThis study is based on an integrative synthesis of 94 published peer-reviewed empirical and non-empirical articles on the use of quantification in HRM. It uses the theoretical framework of the sociology of quantification.FindingsThe analysis shows that there have been several changes in HRM quantification over 2000–2020 in terms of data sources, methods and objectives. Meanwhile, representations of quantification have evolved relatively little; it is still considered as a tool, and this ignores the possible conflicts and subjectivity associated with the use of quantification.Originality/valueThis literature review addresses the use of quantification in HRM in general and is thus larger in scope than previous reviews. Notably, it brings forth new insights on possible differences between the main uses of quantification in HRM, as well as on artificial intelligence and algorithms in HRM.

The role of sociomaterial assemblage on entrepreneurship in coworking-spaces

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Mahmood Aslam ◽  
Ricarda Bouncken ◽  
Lars Görmar
Keyword(s):  
Design Methodology ◽  
Digital Technologies ◽  
Data Sources ◽  
Entrepreneurial Ventures ◽  
Content Type ◽  
Shared Workspaces ◽  
Inductive Research ◽  
Coworking Spaces ◽  
New Formula

PurposeCoworking-spaces are considered as a new formula to facilitate autonomy, creativity, self-efficacy, work satisfaction and innovation, yet they also might overburden their users who in that course intend to limit social interaction and collaboration in the workspace. Thus, the question is how coworking-spaces shape entrepreneurial ventures.Design/methodology/approachThis study used an inductive research methodology based on data from three different data sources, including observations, archives and interviews from managers and entrepreneurs.FindingsThe findings suggest that the materiality in the form of spatial architectures (working, socialization and support structures) shared facilities and infrastructures (utilities, luxuries and specialties), and integrated digital technologies (applications and platforms) influence the flow of communication, internal and external linkages, as well as functional uniformity and distinctiveness. However, there exists an inherent dualism in sociomaterial assemblage in coworking-spaces, which can lead to instrumental and detrimental outcomes for entrepreneurs.Originality/valueThis study explains the role of sociomaterial assemblage on the working of entrepreneurs in shared workspaces.

Sign in / Sign up

Export Citation Format

Share Document