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Article
Publication date: 24 March 2023

Francesco Caputo, Barbara Keller, Michael Möhring, Luca Carrubbo and Rainer Schmidt

In recognising the key role of business intelligence and big data analytics in influencing companies’ decision-making processes, this paper aims to codify the main phases through…

Abstract

Purpose

In recognising the key role of business intelligence and big data analytics in influencing companies’ decision-making processes, this paper aims to codify the main phases through which companies can approach, develop and manage big data analytics.

Design/methodology/approach

By adopting a research strategy based on case studies, this paper depicts the main phases and challenges that companies “live” through in approaching big data analytics as a way to support their decision-making processes. The analysis of case studies has been chosen as the main research method because it offers the possibility for different data sources to describe a phenomenon and subsequently to develop and test theories.

Findings

This paper provides a possible depiction of the main phases and challenges through which the approach(es) to big data analytics can emerge and evolve over time with reference to companies’ decision-making processes.

Research limitations/implications

This paper recalls the attention of researchers in defining clear patterns through which technology-based approaches should be developed. In its depiction of the main phases of the development of big data analytics in companies’ decision-making processes, this paper highlights the possible domains in which to define and renovate approaches to value. The proposed conceptual model derives from the adoption of an inductive approach. Despite its validity, it is discussed and questioned through multiple case studies. In addition, its generalisability requires further discussion and analysis in the light of alternative interpretative perspectives.

Practical implications

The reflections herein offer practitioners interested in company management the possibility to develop performance measurement tools that can evaluate how each phase can contribute to companies’ value creation processes.

Originality/value

This paper contributes to the ongoing debate about the role of digital technologies in influencing managerial and social models. This paper provides a conceptual model that is able to support both researchers and practitioners in understanding through which phases big data analytics can be approached and managed to enhance value processes.

Details

Journal of Knowledge Management, vol. 27 no. 10
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 4 September 2020

Michael Möhring, Barbara Keller, Rainer Schmidt and Scott Dacko

This paper aims to investigate actual tourist customer visiting behavior with behavioral data from Google Popular Times to evaluate the extent that such an online source is useful…

Abstract

Purpose

This paper aims to investigate actual tourist customer visiting behavior with behavioral data from Google Popular Times to evaluate the extent that such an online source is useful to better understand, analyze and predict tourist consumer behaviors.

Design/methodology/approach

Following six hypotheses on tourist behavior, a purpose-built software tool was developed, pre-tested, and then used to obtain a large-scale data sample of 20,000 time periods for 198 restaurants. Both bi-variate linear regression and correlation analyzes were used for hypothesis testing.

Findings

Support was established for the hypotheses, through an analysis of customer reviews, timing effects, the number of pictures uploaded and price segment information provided by tourists to a given restaurant. Also, a relationship to average duration time was found to be positive. The findings demonstrate that data provided through Google Popular Times matches theoretical and logical assumptions to a high degree. Thus, the data source is potentially powerful for providing valuable information to stakeholders (e.g. researchers, managers and tourists).

Originality/value

This paper is the first to both conceptually and empirically demonstrate the practicality and value of Google Popular Times to better understand, analyze and predict tourist consumer behaviors. Value is thereby provided by the potential for this approach to offer insights based behavioral data. Importantly, until now such an approach to gathering and analyzing this volume of actual customer data was previously considered far less practical in terms of time and expense.

目的 (Purpose)

本研究旨在用谷歌热门时段(Google Popular Times)的行为数据来探讨游客的实际访问行为, 以评估此种线上资源对理解、分析和预测游客消费行为的实用程度。

设计/方法学/方式 (Design/methodology/approach)

基于对游客访问行为的六个假设, 本研究开发并前测一种专用软件工具, 用其收集198家餐厅中20,000个时间段的大规模数据样本。双变量线性回归(bi-variate linear regression)和相关性分析(correlation analyzes)均用于检验假设。

发现(Findings)

研究结果支持本文假设, 包含顾客评论数量、时间影响、图片数量以及价格区间等资讯對特定餐厅游客平均数量之預測; 同时亦发现与平均持续时间的正向关系。研究结果证明, 谷歌热门时段所提供的数据很大程度上符合理论与逻辑假设。因此, 其具备潜在强大功能, 能为利害关系人(如研究者, 管理者, 游客)提供高价值的资讯。

原创性/价值(Originality/value)

本研究是第一个从概念与实证上证明谷歌热门时段的实用性和价值, 进而深入理解、分析和预测游客消费行为。此方式透过行为数据来提供深入的见解并创造价值; 重要的是, 在此之前, 这种收集与分析大量实际顾客数据的方法被认为缺乏时间与成本效益。

Propósito

El presente documento tiene como objetivo investigar las conductas de visita de los clientes turísticos reales con datos de comportamiento de Tiempos populares de Google (Google Popular Times) para evaluar el grado en que dicha fuente online es útil para comprender, analizar y predecir mejor las conductas de los consumidores turísticos.

Diseño/metodología/enfoque

Siguiendo seis hipótesis sobre el comportamiento de los clientes turístico visitante, se desarrolló una herramienta de software especialmente diseñada, probada con anterioridad y posteriormente se utilizó para obtener una muestra de datos a gran escala de 20.000 períodos de tiempo para 198 restaurantes. Se utilizaron tanto la regresión lineal bi-variante como los análisis de correlación para probar las hipótesis.

Hallazgos

Se apoya la hipótesis que incluyen la cantidad de comentarios de los clientes, los efectos de tiempo, el número de imágenes y la información del segmento de precios sobre la cantidad de turistas que visitan un restaurante determinado en promedio. Además, se encuentra una relación positiva con el tiempo de duración promedio. Los hallazgos demuestran que los datos proporcionados a través de Google Popular Times coinciden en alto grado con las suposiciones teóricas y lógicas. Por lo tanto, la fuente de datos es potencialmente eficaz para proporcionar información valiosa a los interesados (por ejemplo, investigadores, administradores, turistas).

Originalidad/valor

Este ensayo es el primero que demuestra conceptual y empíricamente la practicidad y el valor de Google Popular Times para entender, analizar y predecir mejor el comportamiento del consumidor turístico. Por lo tanto, el valor es proporcionado por el potencial de este enfoque para ofrecer datos de comportamiento basados en la comprensión. Es importante señalar que hasta ahora ese enfoque para reunir y analizar ese volumen de datos reales sobre los clientes se consideraba menos práctico en términos de tiempo y gastos.

Content available
Book part
Publication date: 7 October 2020

Abstract

Details

Retail Futures
Type: Book
ISBN: 978-1-83867-664-3

Book part
Publication date: 7 October 2020

Scott Dacko, Rainer Schmidt, Michael Möhring and Barbara Keller

  • Appreciate the scope and pervasiveness of fake reviews in retailing
  • Recognise the causes of fake reviews in retailing
  • Understand consumer responses to fake reviews in retail

Abstract

Learning Outcomes

  • Appreciate the scope and pervasiveness of fake reviews in retailing

  • Recognise the causes of fake reviews in retailing

  • Understand consumer responses to fake reviews in retail

  • Understand how retailers can and should manage fake reviews

  • Understand better the expected future of retail with fake reviews

Appreciate the scope and pervasiveness of fake reviews in retailing

Recognise the causes of fake reviews in retailing

Understand consumer responses to fake reviews in retail

Understand how retailers can and should manage fake reviews

Understand better the expected future of retail with fake reviews

Article
Publication date: 1 February 2000

Yaw A. Debrah and Ian G. Smith

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on…

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Abstract

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.

Details

Management Research News, vol. 23 no. 2/3/4
Type: Research Article
ISSN: 0140-9174

Keywords

Article
Publication date: 18 October 2021

Colin Bien and Coco Klußmann

The purpose of this paper is to develop a framework that systematically captures the ambiguity of different understandings about science, the university and its relation to…

Abstract

Purpose

The purpose of this paper is to develop a framework that systematically captures the ambiguity of different understandings about science, the university and its relation to society, while conceptualising sustainability. Following Corley and Gioia (2004, p. 174) on identity ambiguity and change, it seems pivotal to better understanding the ambiguity of sustainability in relation to academic cultures and university models to manage the transition more effectively.

Design/methodology/approach

The nature of this paper’s objectives as well as the wide thematic scope leads to the need of exploring a broad knowledge base. This was best addressed by an exploratory literature review with data collection from primary and secondary sources. The data was interpreted through a hermeneutic analysis and resulted in the inductive development of first categories and goals (further referred to as category development). In addition, a multi-method approach further adjusted the categories and raised their empirical validity and social robustness.

Findings

Implementing sustainability involves dealing with a double bound ambiguity due to organisational and individual identity reasons. Five fields of ambiguity were developed to systemise the conceptualisation of a sustainable university along contradictory understandings of science, the university and sustainability. These fields offer a framework to qualitatively assess the degree of sustainability in higher education institutions. Arguments for and against sustainability in universities have been categorised around five criteria and associated to the fields of ambiguity. The finding indicates that meaning in organisational change management for sustainability can be considered both, a potential driver and barrier for a sustainability transition in universities.

Research limitations/implications

This paper exclusively focussed on the internal perspective and left aside any external factors that influence the sustainability transition, such as political measures to stimulate sustainability in higher education. In addition, the operational dimension of a sustainable university has been neglected, which is by all means a necessary and important aspect. The interrelation of the identified goals has not been discussed.

Originality/value

This paper focusses on the conceptualisation and understanding of sustainability within the institution, an often-forgotten but fundamental aspect of implementation. The fields of ambiguity are designed to be applied for assessing the “degree of maturity” of a sustainable university. The fields reveal the different understandings about the role, the mission and the governance of universities, stemming from competing preferences about goals and their assumed relations by various stakeholders of a higher education institutions. The five fields are not an attempt to resolve the hidden contradictions and tensions in a sustainability transition, but to state them clearly to anticipate resistances and conflicts that hinder the development of a shared understanding.

Details

International Journal of Sustainability in Higher Education, vol. 23 no. 2
Type: Research Article
ISSN: 1467-6370

Keywords

Article
Publication date: 5 March 2018

Baidyanath Biswas and Arunabha Mukhopadhyay

Malicious attackers frequently breach information systems by exploiting disclosed software vulnerabilities. Knowledge of these vulnerabilities over time is essential to decide the…

Abstract

Purpose

Malicious attackers frequently breach information systems by exploiting disclosed software vulnerabilities. Knowledge of these vulnerabilities over time is essential to decide the use of software products by organisations. The purpose of this paper is to propose a novel G-RAM framework for business organisations to assess and mitigate risks arising out of software vulnerabilities.

Design/methodology/approach

The G-RAM risk assessment module uses GARCH to model vulnerability growth. Using 16-year data across 1999-2016 from the National Vulnerability Database, the authors estimate the model parameters and validate the prediction accuracy. Next, the G-RAM risk mitigation module designs optimal software portfolio using Markowitz’s mean-variance optimisation for a given IT budget and preference.

Findings

Based on an empirical analysis, this study establishes that vulnerability follows a non-linear, time-dependent, heteroskedastic growth pattern. Further, efficient software combinations are proposed that optimise correlated risk. The study also reports the empirical evidence of a shift in efficient frontier of software configurations with time.

Research limitations/implications

Existing assumption of independent and identically distributed residuals after vulnerability function fitting is incorrect. This study applies GARCH technique to measure volatility clustering and mean reversal. The risk (or volatility) represented by the instantaneous variance is dependent on the immediately previous one, as well as on the unconditional variance of the entire vulnerability growth process.

Practical implications

The volatility-based estimation of vulnerability growth is a risk assessment mechanism. Next, the portfolio analysis acts as a risk mitigation activity. Results from this study can decide patch management cycle needed for each software – individual or group patching. G-RAM also ranks them into a 2×2 risk-return matrix to ensure that the correlated risk is diversified. Finally the paper helps the business firms to decide what to purchase and what to avoid.

Originality/value

Contrary to the existing techniques which either analyse with statistical distributions or linear econometric methods, this study establishes that vulnerability growth follows a non-linear, time-dependent, heteroskedastic pattern. The paper also links software risk assessment to IT governance and strategic business objectives. To the authors’ knowledge, this is the first study in IT security to examine and forecast volatility, and further design risk-optimal software portfolios.

Details

Journal of Enterprise Information Management, vol. 31 no. 2
Type: Research Article
ISSN: 1741-0398

Keywords

Open Access
Article
Publication date: 28 January 2022

Jana Olivia Dreyer, Silke Lichtenstein and Eleonore A. Heil

The purpose of this study is to investigate what consumers think about food waste, best before date (BBD) and appreciation of food in the context of a model project in the…

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Abstract

Purpose

The purpose of this study is to investigate what consumers think about food waste, best before date (BBD) and appreciation of food in the context of a model project in the food-retailing sector. The focus was on the following key questions: How is the issue of food waste itself perceived by consumers? What understanding of the BBD was present in the sample and what do consumers imagine under the term appreciation in the context of food? The study also included an evaluation of the acceptance of the model project by customers. In this project, food no longer suitable for sale was distributed free of charge to visitors of a supermarket via a freely accessible refrigerator.

Design/methodology/approach

The research design was based on a mixed methods approach in an explorative sequential design. First a qualitative survey was conducted via interviews (n = 8) with customers, and the results were used for a subsequent quantitative survey (n = 88) in the supermarket.

Findings

The majority of those questioned were sensitized to the topics of food waste, BBD and appreciation of food. The results of the interviews and the questionnaires revealed a consistently positive opinion about the model project. These results indicate potential for reducing food losses among consumers and in food retailing and for improving appreciation.

Originality/value

This was the first study conducted as part of a model project in the retail sector in the context of food waste. The study also investigated within in the project what people think about the BBD, food losses and appreciation. At the same time, the acceptance of the project was assessed.

Details

British Food Journal, vol. 124 no. 13
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 1 February 1999

MARKUS PROMBERGER, HARTMUT SEIFERT and RAINER TRINCZEK

In 1993, an innovative working time agreement was achieved at the Volkswagen (VW) Company. Its major aim was to save 30,000 jobs in VW's six German plants, which were endangered…

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Abstract

In 1993, an innovative working time agreement was achieved at the Volkswagen (VW) Company. Its major aim was to save 30,000 jobs in VW's six German plants, which were endangered because of a severe crisis of the car manufacturer. The 2‐year agreement included as its major point a reduction of the weekly working hours by 20% to 28.8 hours/week without complete financial compensation for the employees. In the years following, the original agreement was renewed and amended several times whereby the amendments mainly included a considerable flexibility of the working time structures at Volkswagen. This paper discusses the different agreements and presents some findings of a representative empirical study among the VW employees about the effects of the 28.8‐hour per week agreement. Finally, the question will be answered whether the VW model could serve as a general model to redistribute an existing volume of work among more employees in order to reduce unemployment.

Details

Journal of Human Resource Costing & Accounting, vol. 4 no. 2
Type: Research Article
ISSN: 1401-338X

Article
Publication date: 4 February 2014

Kamla Ali Al-Busaidi

This paper aims to assess information technology (IT) managers' perception of the strengths, weaknesses, opportunities and threats (SWOT) of using social networking sites (SNS

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Abstract

Purpose

This paper aims to assess information technology (IT) managers' perception of the strengths, weaknesses, opportunities and threats (SWOT) of using social networking sites (SNS) for group work at government organizations. According to the research, SNS provide considerable potential and can be a valuable technology for group work in government, public and/or non-profit organizations.

Design/methodology/approach

This study adopted a Delphi technique to assess the SWOT from IT managers in government organizations in Oman, a developing Middle Eastern country. One of the main roles of IT managers is to develop a short-term and long-term IT strategy, and identify opportunities in new technologies. SWOT analysis is a very useful tool to strategically analyze and understand an organization's current position in any IT deployment. As an exploratory study, Delphi technique is utilized as it produces the most reliable consensus of a group of experts. Data was collected through a web-based questionnaire.

Findings

The results suggest that there are more strengths than weaknesses and more opportunities than threats. However, some weaknesses and risks are critical as they relate to security and privacy controls and breaches. The study illustrates IT managers' perception about the use of SNS in government organizations.

Originality/value

For government organizations, prior research was mainly on the use of SNS to improve communication between government organizations and citizens. Not much is known about organizations' use of public technologies for a challenging process such as group collaboration. Results can be utilized by researchers and practitioners to improve SNS use for group work and to raise organizations' and individuals' awareness about implementing some controls that eliminate the critical threats. Results also can be utilized by IT policy and strategy makers in Oman and government organizations to develop overall national policy and guidelines for the use of SNS by government organizations.

Details

VINE: The journal of information and knowledge management systems, vol. 44 no. 1
Type: Research Article
ISSN: 0305-5728

Keywords

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