Rivista e Edizione

Volume 12 (2021): Edizione 2 (December 2021)

Volume 12 (2021): Edizione 1 (May 2021)

Volume 11 (2020): Edizione 3 (November 2020)

Volume 11 (2020): Edizione 2 (October 2020)

Volume 11 (2020): Edizione 1 (March 2020)

Volume 10 (2019): Edizione 2 (September 2019)

Volume 10 (2019): Edizione 1 (April 2019)

Volume 9 (2018): Edizione 2 (July 2018)

Volume 9 (2018): Edizione 1 (March 2018)

Volume 8 (2017): Edizione 2 (September 2017)

Volume 8 (2017): Edizione 1 (March 2017)

Volume 7 (2016): Edizione 2 (September 2016)

Volume 7 (2016): Edizione 1 (March 2016)

Volume 6 (2015): Edizione 2 (September 2015)

Volume 6 (2015): Edizione 1 (March 2015)

Volume 5 (2014): Edizione 3 (September 2014)
“Novel solutions or novel approaches in Operational Research” co-published with the Slovenian Society INFORMATIKA – Section for Operational Research (SDI-SOR), Edizione Editors: Ksenija Dumičić (University of Zagreb), Lidija Zadnik Stirn (University of Ljubljana), and Janez Žerovnik (University of Ljubljana)

Volume 5 (2014): Edizione 2 (June 2014)

Volume 5 (2014): Edizione 1 (March 2014)
Special Edizione: Embedded Systems Applications: Future Society Applications

Volume 4 (2013): Edizione 2 (December 2013)

Volume 4 (2013): Edizione 1 (March 2013)

Volume 3 (2012): Edizione 2 (September 2012)
"Innovative Approaches to Operations Research Methodology and Its Applications in Business, Economics, Management and Social Sciences" co-published with the Slovenian Society INFORMATIKA - Section for Operational Research (SDI-SOR)

Volume 3 (2012): Edizione 1 (June 2012)

Volume 2 (2011): Edizione 2 (June 2011)

Volume 2 (2011): Edizione 1 (January 2011)

Volume 1 (2010): Edizione 1-2 (January 2010)

Dettagli della rivista
Formato
Rivista
eISSN
1847-9375
Pubblicato per la prima volta
19 Sep 2012
Periodo di pubblicazione
2 volte all'anno
Lingue
Inglese

Cerca

Volume 11 (2020): Edizione 1 (March 2020)

Dettagli della rivista
Formato
Rivista
eISSN
1847-9375
Pubblicato per la prima volta
19 Sep 2012
Periodo di pubblicazione
2 volte all'anno
Lingue
Inglese

Cerca

10 Articoli
access type Accesso libero

The Combined Use of Balanced Scorecard and Data Envelopment Analysis in the Banking Industry

Pubblicato online: 13 Apr 2020
Pagine: 4 - 15

Astratto

Abstract

Background: Starting from the limitations of different single-method approaches to measuring the organizational efficiency, the paper is focused on covering both the financial and non-financial factors of this concept by combining two methods, namely the Balanced Scorecard (BSC) and Data Envelopment Analysis (DEA).

Objectives: The main goal of the research in the paper is to show that certain deficiencies in the independent application of each method are eliminated by combining these methods.

Methods/Approach: The paper combines two methods, BSC and DEA, to measure the relative efficiency of all branches of a bank in Serbia.

Results: Results confirmed that the combined use of the named methods facilitates measurement of organizational efficiency by using both financial and non-financial indicators.

Conclusions: The paper shows that it is possible to achieve synergetic effects in the evaluation of organizational efficiency in the banking sector if BSC is applied first, to define goals within four perspectives, and then four DEA models are developed to measure efficiency in each perspective.

Parole chiave

  • Balanced Scorecard
  • Data Envelopment Analysis
  • organizational efficiency
  • combined methods
  • decision support systems

JEL Classification

  • D24
  • D57
  • M21
access type Accesso libero

Impact of Fraud Risk Assessment on Good Corporate Governance: Case of Public Listed Companies in Oman

Pubblicato online: 13 Apr 2020
Pagine: 16 - 30

Astratto

Abstract

Background: Fraud risk assessment as a control mechanism is becoming necessary due to continuous and never-ending fraudulent activities. Frauds arise regardless of the existence of codes for corporate governance and available control activities such as those of internal and external audit units. It is high time for the corporate governance functions such as Audit and Risk Committees and Senior Management to identify the controls, which can assist in achieving good corporate governance and at the same time provide satisfaction to the shareholders.

Objective: This paper intends to identify the relationship between fraud risk assessment and good corporate governance of companies listed in the Muscat Stock Market in the Sultanate of Oman.

Methods/Approach: A quantitative method with a descriptive cross-sectional survey design has been utilized and data have been analysed by utilizing PLS-SEM.

Result: Fraud risk assessment has a significant direct impact on good corporate governance, and the adoption and implementation of the fraud risk assessment will assist in the achievement of good corporate governance.

Conclusion: It is highly recommended that organizations adopt fraud risk assessment as fraud detection, control mechanism, and embed it in their corporate governance policies, which will eventually aid in the achievement of good corporate governance.

Parole chiave

  • fraud risk assessment
  • good corporate governance
  • corporate governance
  • audit
  • and risk committee
  • senior management

JEL Classification

  • G3
  • G34
access type Accesso libero

Do Business Ethics and Ethical Decision Making Still Matter: Perspective of Different Generational Cohorts

Pubblicato online: 13 Apr 2020
Pagine: 31 - 43

Astratto

Abstract

Background: Research in business ethics shows that individual differences can influence one’s ethical behaviour. In addition, variability in attitudes towards ethical issues among different generations is emphasized. Still, results are inconclusive and call for an additional examination of possible generational differences with regard to ethics and ethical values.

Objectives: Our objective is to test if the perception of the importance of business ethics, attitudes towards ethical issues and aspects influencing ethical behaviour, differ among the four generations currently present in the workforce.

Methods/Approach: Theoretical implications are empirically tested on a sample of 107 individuals, members of Baby Boomers, Generation X, Millennials and Generation Z.

Results: In general, the results indicate that there are little or no generational differences related to the analysed aspects of business ethics. The significant difference is present only in the importance given to factors that influence ethical decision-making: (i) formal rules and procedures, (ii) performance management system and (iii) job pressures, between the members of Generation Z and older generations.

Conclusions: In spite of employee diversity, ethics continues to present an important aspect of the business environment. Thus, organizations need to be oriented towards creating ethical leaders and a positive ethical climate that ensures that ethical values and behaviours are present throughout the organization.

Parole chiave

  • business ethics
  • ethical decision making
  • generations

JEL Classification

  • M1
  • M14
access type Accesso libero

Impact of Institutional Quality on Foreign Direct Investment Inflow: Evidence from Croatia

Pubblicato online: 13 Apr 2020
Pagine: 44 - 58

Astratto

Abstract

Background: Foreign direct investment (FDI) flows are unevenly distributed around the world and determined by different factors. The literature points out to economic and non-economic determinants of FDI flows, while the latter have shown to generate ambiguous effects across regions.

Objectives: The primary goal of this paper is to examine the relationship between non-economic determinants and the FDI inflow in Croatia from 1996 to 2017, thus capturing different periods of the economic cycle. The importance of non-economic institutional determinants of FDI is analysed in parallel with the economic determinants.

Methods/Approach: This study uses available data on FDI per capita and a set of non-economic (institutional) and economic determinants. We employed the OLS regression analysis to determine the significance of FDI inflow determinants and compare the relevance of non-economic to economic factors.

Results: Results of this exploratory study show that institutional quality variables included in the model (regulatory quality, political stability, and government effectiveness, the rule of law and control of corruption) could not be pointed out as important determinants of the FDI inflow in Croatia. Economic variables GDP per capita and average gross wage prove to be important in determining the FDI inflow in Croatia.

Conclusions: The research results point to a variety of FDI determinants among countries and economic cycle periods. Given the evidence from Croatia, variations, especially in institutional determinants, might be caused by the diverse FDI inflow characteristics and specificities of receiving economies.

Parole chiave

  • Croatia
  • economic determinants
  • foreign direct investment
  • institutional quality

JEL Classification

  • F21
  • F63
access type Accesso libero

Croatian Defense Industry Competitiveness Cluster: Knowledge Management and Innovation Perspective

Pubblicato online: 13 Apr 2020
Pagine: 59 - 72

Astratto

Abstract

Background: Industry clusters and their relationship with the organization’s success, competitive advantage and innovations have been gaining research interest for decades, with the recent focus on defence industry.

Objectives: The aim is to investigate how Croatian Defense Industry Competitiveness Cluster (CDICC) fosters the knowledge management and innovation performance of its members.

Methods/Approach: Survey has been performed on a portion of CDICC members, and responses have been analysed using the factor analysis and the correlation analysis.

Results: The results indicate that CDICC actively contributes to knowledge creation and acquisition, innovation performance and market performance of its members. However, the analysis revealed that knowledge storage and knowledge dissemination are not sufficiently supported by CDICC.

Conclusions: The current problems with the various aspects of knowledge management within a cluster provide a direction for overcoming possible obstacles for further development of industrial clusters.

Parole chiave

  • defence industry cluster
  • knowledge management
  • innovation performance
  • Croatian Defense Industry Competitiveness Cluster
  • factor analysis

JEL Classification

  • D83
  • C38
access type Accesso libero

Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland

Pubblicato online: 13 Apr 2020
Pagine: 73 - 88

Astratto

Abstract

Background: Cinema programmes are set in advance (usually with a weekly frequency), which motivates us to investigate the short-term forecasting of attendance. In the literature on the cinema industry, the issue of attendance forecasting has gained less research attention compared to modelling the aggregate performance of movies. Furthermore, unlike most existing studies, we use data on attendance at the individual show level (179,103 shows) rather than aggregate box office sales.

Objectives: In the paper, we evaluate short-term forecasting models of cinema attendance. The main purpose of the study is to find the factors that are useful in forecasting cinema attendance at the individual show level (i.e., the number of tickets sold for a particular movie, time and cinema).

Methods/Approach: We apply several linear regression models, estimated for each recursive sample, to produce one-week ahead forecasts of the attendance. We then rank the models based on the out-of-sample fit.

Results: The results show that the best performing models are those that include cinema- and region-specific variables, in addition to movie parameters (e.g., genre, age classification) or title popularity.

Conclusions: Regression models using a wide set of variables (cinema- and region-specific variables, movie features, title popularity) may be successfully applied for predicting individual cinema shows attendance in Poland.

Parole chiave

  • cinema attendance
  • movie
  • IMDb
  • forecasting
  • data mining
  • decision support models

JEL Classification

  • L82
  • C53
  • D81
  • Z11
access type Accesso libero

A Content Analysis of International Airline Alliances Mission Statements

Pubblicato online: 13 Apr 2020
Pagine: 89 - 105

Astratto

Abstract

Background: Mission statements have come to play an important role as tools for organizational value sharing.

Objectives: This study aims to shed light on what types of values are highlighted in international airline alliance members’ mission statements, and whether there are significant differences or not.

Methods/Approach: Quantitative content analyses have been conducted with the goal to investigate mission statements of 61 members of international airline alliances: Star Alliance, SkyTeam, and oneworld.

Results: Frequency test outcomes reveal that “philosophy”, “self-concept” and “location” are the predominant components in oneworld, “philosophy” is the primary component in SkyTeam, and “philosophy” and “customer” are the focal components of Star Alliance. According to chi-square tests, Star Alliance members emphasize “customer” more often than others do, and oneworld members highlight “profitability” more often. One-way Anova tests with a post hoc analysis reveal that Star Alliance members cover more components than SkyTeam.

Conclusions: The theoretical implication of these findings is that they reveal the existence of unique values among international airline alliances members offering a competitive advantage. As a practical implication, these findings will be helpful for international airline alliances and airline managers for comparative purposes.

Parole chiave

  • international airline alliance
  • airline
  • mission statement
  • organizational value
  • content analysis

JEL Classification

  • F23
  • M1
  • M16
access type Accesso libero

Dataveillance in the Workplace: Managing the Impact of Innovation

Pubblicato online: 13 Apr 2020
Pagine: 106 - 124

Astratto

Abstract

Background: Monitoring and surveillance are a fundamental part of the workplace environment, with employee performance and productivity as the main objects of scrutiny. However, many questions surround the ethical nature of managements’ ability to employ advanced digital technologies to monitor employee behaviour and performance while in the workplace. If unaddressed, these concerns have the potential to significantly impact the relationship between the employee and the employer, impacting trust in management resulting in negative attitudes and counterproductive behaviours.

Objectives: The goal of this paper is to present a comprehensive review of workplace surveillance whilst outlining some of the emerging issues relating to the use of employee monitoring technologies in the workplace.

Methods/Approach: A detailed review of the literature was conducted in order to identify the major issues relating to workplace surveillance. In addition, a number of practitioner-based studies were examined to extract and identify emerging trends and concerns at an industry level.

Results: Workplace surveillance is on the rise; however, empirical studies are in short supply.

Conclusions: The issue of workplace surveillance is an under-researched area, which requires much attention. There is a distinct need for clear measures and structures that govern the effective and fair use of communication technologies in the workplace.

Parole chiave

  • employee privacy concerns
  • monitoring
  • trust
  • workplace surveillance
  • employee empowerment
  • counterproductive workplace behaviour
  • psychological contract

JEL Classification

  • O3
access type Accesso libero

Understanding Digital Transformation Initiatives: Case Studies Analysis

Pubblicato online: 13 Apr 2020
Pagine: 125 - 141

Astratto

Abstract

Background: Complexity of the digital transformation (Digital Transformation) paradigm and its relation to the fourth technological revolution face companies with serious challenges when it comes to keeping up with the competition or becoming a leader in operating industries.

Objectives: The goal of our research is to systematize, analyse and evaluate technological and business concepts of Digital Transformation, in order to identify and investigate Digital Transformation initiatives in Croatia.

Methods/Approach: To accomplish this goal, we used a multiple-case study approach to gather data from experts who participated in successful Digital Transformation initiatives.

Results: Questionnaires were developed and used to gather both, qualitative background and technology-business related data relevant for Digital Transformation initiatives’ success, discussed in the last part of the paper. The limitation of this study is a relatively small number of case studies (6), as well as its local coverage, resulting therefore with conclusions, which will serve as a base for future studies.

Conclusions: There are several background, business, and technology-related concepts or factors relevant to Digital Transformation initiatives: profile and involvement of external Digital Transformation experts; the transformation drivers and expectations. In achieving most significant business concepts for business transformation, no single one right combination of technological concepts could be explicitly determined.

Parole chiave

  • digital transformation
  • industry 4.0.
  • technology
  • business
  • case study
  • initiative
  • Croatia

JEL Classification

  • O33
  • O32
  • O31
  • M15
  • L86
access type Accesso libero

Impact Evaluation of an Emerging European Health Project – the MIDAS Model

Pubblicato online: 13 Apr 2020
Pagine: 142 - 150

Astratto

Abstract

Background: This paper describes the impact evaluation of a large big data platform initiative that is being undertaken in order to increase the probability of its success. The initiative, MIDAS (Meaningful Integration of Data Analytics and Services), is a European health-based Horizon 2020 project comprising a consortium of members from various universities, research institutions, and government agencies.

Objectives: The purpose of the paper is to present a pioneering platform that will support healthcare policymakers in their decision-making by enabling greater and more efficient use of their data. The goal is to present and evaluate the results of the MIDAS project across four countries.

Methods/Approach: The literature is replete with examples of worthwhile technology projects that have failed due to user resistance. In order to avoid such failure, and ensure the success of the final MIDAS platform, a detailed impact evaluation is being undertaken at timed periods of development.

Results: This paper describes the impact evaluation process, outlining the use of Q-methodology and the development of a 36-item concourse using the HTMLQ system for that purpose.

Conclusions: This research contributes to the overall understanding of how impact evaluation can be undertaken at timed periods during the development of an innovative technology for organisational purposes.

Parole chiave

  • MIDAS
  • health-based project
  • decision support systems
  • data mining

JEL Classification

  • I18
10 Articoli
access type Accesso libero

The Combined Use of Balanced Scorecard and Data Envelopment Analysis in the Banking Industry

Pubblicato online: 13 Apr 2020
Pagine: 4 - 15

Astratto

Abstract

Background: Starting from the limitations of different single-method approaches to measuring the organizational efficiency, the paper is focused on covering both the financial and non-financial factors of this concept by combining two methods, namely the Balanced Scorecard (BSC) and Data Envelopment Analysis (DEA).

Objectives: The main goal of the research in the paper is to show that certain deficiencies in the independent application of each method are eliminated by combining these methods.

Methods/Approach: The paper combines two methods, BSC and DEA, to measure the relative efficiency of all branches of a bank in Serbia.

Results: Results confirmed that the combined use of the named methods facilitates measurement of organizational efficiency by using both financial and non-financial indicators.

Conclusions: The paper shows that it is possible to achieve synergetic effects in the evaluation of organizational efficiency in the banking sector if BSC is applied first, to define goals within four perspectives, and then four DEA models are developed to measure efficiency in each perspective.

Parole chiave

  • Balanced Scorecard
  • Data Envelopment Analysis
  • organizational efficiency
  • combined methods
  • decision support systems

JEL Classification

  • D24
  • D57
  • M21
access type Accesso libero

Impact of Fraud Risk Assessment on Good Corporate Governance: Case of Public Listed Companies in Oman

Pubblicato online: 13 Apr 2020
Pagine: 16 - 30

Astratto

Abstract

Background: Fraud risk assessment as a control mechanism is becoming necessary due to continuous and never-ending fraudulent activities. Frauds arise regardless of the existence of codes for corporate governance and available control activities such as those of internal and external audit units. It is high time for the corporate governance functions such as Audit and Risk Committees and Senior Management to identify the controls, which can assist in achieving good corporate governance and at the same time provide satisfaction to the shareholders.

Objective: This paper intends to identify the relationship between fraud risk assessment and good corporate governance of companies listed in the Muscat Stock Market in the Sultanate of Oman.

Methods/Approach: A quantitative method with a descriptive cross-sectional survey design has been utilized and data have been analysed by utilizing PLS-SEM.

Result: Fraud risk assessment has a significant direct impact on good corporate governance, and the adoption and implementation of the fraud risk assessment will assist in the achievement of good corporate governance.

Conclusion: It is highly recommended that organizations adopt fraud risk assessment as fraud detection, control mechanism, and embed it in their corporate governance policies, which will eventually aid in the achievement of good corporate governance.

Parole chiave

  • fraud risk assessment
  • good corporate governance
  • corporate governance
  • audit
  • and risk committee
  • senior management

JEL Classification

  • G3
  • G34
access type Accesso libero

Do Business Ethics and Ethical Decision Making Still Matter: Perspective of Different Generational Cohorts

Pubblicato online: 13 Apr 2020
Pagine: 31 - 43

Astratto

Abstract

Background: Research in business ethics shows that individual differences can influence one’s ethical behaviour. In addition, variability in attitudes towards ethical issues among different generations is emphasized. Still, results are inconclusive and call for an additional examination of possible generational differences with regard to ethics and ethical values.

Objectives: Our objective is to test if the perception of the importance of business ethics, attitudes towards ethical issues and aspects influencing ethical behaviour, differ among the four generations currently present in the workforce.

Methods/Approach: Theoretical implications are empirically tested on a sample of 107 individuals, members of Baby Boomers, Generation X, Millennials and Generation Z.

Results: In general, the results indicate that there are little or no generational differences related to the analysed aspects of business ethics. The significant difference is present only in the importance given to factors that influence ethical decision-making: (i) formal rules and procedures, (ii) performance management system and (iii) job pressures, between the members of Generation Z and older generations.

Conclusions: In spite of employee diversity, ethics continues to present an important aspect of the business environment. Thus, organizations need to be oriented towards creating ethical leaders and a positive ethical climate that ensures that ethical values and behaviours are present throughout the organization.

Parole chiave

  • business ethics
  • ethical decision making
  • generations

JEL Classification

  • M1
  • M14
access type Accesso libero

Impact of Institutional Quality on Foreign Direct Investment Inflow: Evidence from Croatia

Pubblicato online: 13 Apr 2020
Pagine: 44 - 58

Astratto

Abstract

Background: Foreign direct investment (FDI) flows are unevenly distributed around the world and determined by different factors. The literature points out to economic and non-economic determinants of FDI flows, while the latter have shown to generate ambiguous effects across regions.

Objectives: The primary goal of this paper is to examine the relationship between non-economic determinants and the FDI inflow in Croatia from 1996 to 2017, thus capturing different periods of the economic cycle. The importance of non-economic institutional determinants of FDI is analysed in parallel with the economic determinants.

Methods/Approach: This study uses available data on FDI per capita and a set of non-economic (institutional) and economic determinants. We employed the OLS regression analysis to determine the significance of FDI inflow determinants and compare the relevance of non-economic to economic factors.

Results: Results of this exploratory study show that institutional quality variables included in the model (regulatory quality, political stability, and government effectiveness, the rule of law and control of corruption) could not be pointed out as important determinants of the FDI inflow in Croatia. Economic variables GDP per capita and average gross wage prove to be important in determining the FDI inflow in Croatia.

Conclusions: The research results point to a variety of FDI determinants among countries and economic cycle periods. Given the evidence from Croatia, variations, especially in institutional determinants, might be caused by the diverse FDI inflow characteristics and specificities of receiving economies.

Parole chiave

  • Croatia
  • economic determinants
  • foreign direct investment
  • institutional quality

JEL Classification

  • F21
  • F63
access type Accesso libero

Croatian Defense Industry Competitiveness Cluster: Knowledge Management and Innovation Perspective

Pubblicato online: 13 Apr 2020
Pagine: 59 - 72

Astratto

Abstract

Background: Industry clusters and their relationship with the organization’s success, competitive advantage and innovations have been gaining research interest for decades, with the recent focus on defence industry.

Objectives: The aim is to investigate how Croatian Defense Industry Competitiveness Cluster (CDICC) fosters the knowledge management and innovation performance of its members.

Methods/Approach: Survey has been performed on a portion of CDICC members, and responses have been analysed using the factor analysis and the correlation analysis.

Results: The results indicate that CDICC actively contributes to knowledge creation and acquisition, innovation performance and market performance of its members. However, the analysis revealed that knowledge storage and knowledge dissemination are not sufficiently supported by CDICC.

Conclusions: The current problems with the various aspects of knowledge management within a cluster provide a direction for overcoming possible obstacles for further development of industrial clusters.

Parole chiave

  • defence industry cluster
  • knowledge management
  • innovation performance
  • Croatian Defense Industry Competitiveness Cluster
  • factor analysis

JEL Classification

  • D83
  • C38
access type Accesso libero

Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland

Pubblicato online: 13 Apr 2020
Pagine: 73 - 88

Astratto

Abstract

Background: Cinema programmes are set in advance (usually with a weekly frequency), which motivates us to investigate the short-term forecasting of attendance. In the literature on the cinema industry, the issue of attendance forecasting has gained less research attention compared to modelling the aggregate performance of movies. Furthermore, unlike most existing studies, we use data on attendance at the individual show level (179,103 shows) rather than aggregate box office sales.

Objectives: In the paper, we evaluate short-term forecasting models of cinema attendance. The main purpose of the study is to find the factors that are useful in forecasting cinema attendance at the individual show level (i.e., the number of tickets sold for a particular movie, time and cinema).

Methods/Approach: We apply several linear regression models, estimated for each recursive sample, to produce one-week ahead forecasts of the attendance. We then rank the models based on the out-of-sample fit.

Results: The results show that the best performing models are those that include cinema- and region-specific variables, in addition to movie parameters (e.g., genre, age classification) or title popularity.

Conclusions: Regression models using a wide set of variables (cinema- and region-specific variables, movie features, title popularity) may be successfully applied for predicting individual cinema shows attendance in Poland.

Parole chiave

  • cinema attendance
  • movie
  • IMDb
  • forecasting
  • data mining
  • decision support models

JEL Classification

  • L82
  • C53
  • D81
  • Z11
access type Accesso libero

A Content Analysis of International Airline Alliances Mission Statements

Pubblicato online: 13 Apr 2020
Pagine: 89 - 105

Astratto

Abstract

Background: Mission statements have come to play an important role as tools for organizational value sharing.

Objectives: This study aims to shed light on what types of values are highlighted in international airline alliance members’ mission statements, and whether there are significant differences or not.

Methods/Approach: Quantitative content analyses have been conducted with the goal to investigate mission statements of 61 members of international airline alliances: Star Alliance, SkyTeam, and oneworld.

Results: Frequency test outcomes reveal that “philosophy”, “self-concept” and “location” are the predominant components in oneworld, “philosophy” is the primary component in SkyTeam, and “philosophy” and “customer” are the focal components of Star Alliance. According to chi-square tests, Star Alliance members emphasize “customer” more often than others do, and oneworld members highlight “profitability” more often. One-way Anova tests with a post hoc analysis reveal that Star Alliance members cover more components than SkyTeam.

Conclusions: The theoretical implication of these findings is that they reveal the existence of unique values among international airline alliances members offering a competitive advantage. As a practical implication, these findings will be helpful for international airline alliances and airline managers for comparative purposes.

Parole chiave

  • international airline alliance
  • airline
  • mission statement
  • organizational value
  • content analysis

JEL Classification

  • F23
  • M1
  • M16
access type Accesso libero

Dataveillance in the Workplace: Managing the Impact of Innovation

Pubblicato online: 13 Apr 2020
Pagine: 106 - 124

Astratto

Abstract

Background: Monitoring and surveillance are a fundamental part of the workplace environment, with employee performance and productivity as the main objects of scrutiny. However, many questions surround the ethical nature of managements’ ability to employ advanced digital technologies to monitor employee behaviour and performance while in the workplace. If unaddressed, these concerns have the potential to significantly impact the relationship between the employee and the employer, impacting trust in management resulting in negative attitudes and counterproductive behaviours.

Objectives: The goal of this paper is to present a comprehensive review of workplace surveillance whilst outlining some of the emerging issues relating to the use of employee monitoring technologies in the workplace.

Methods/Approach: A detailed review of the literature was conducted in order to identify the major issues relating to workplace surveillance. In addition, a number of practitioner-based studies were examined to extract and identify emerging trends and concerns at an industry level.

Results: Workplace surveillance is on the rise; however, empirical studies are in short supply.

Conclusions: The issue of workplace surveillance is an under-researched area, which requires much attention. There is a distinct need for clear measures and structures that govern the effective and fair use of communication technologies in the workplace.

Parole chiave

  • employee privacy concerns
  • monitoring
  • trust
  • workplace surveillance
  • employee empowerment
  • counterproductive workplace behaviour
  • psychological contract

JEL Classification

  • O3
access type Accesso libero

Understanding Digital Transformation Initiatives: Case Studies Analysis

Pubblicato online: 13 Apr 2020
Pagine: 125 - 141

Astratto

Abstract

Background: Complexity of the digital transformation (Digital Transformation) paradigm and its relation to the fourth technological revolution face companies with serious challenges when it comes to keeping up with the competition or becoming a leader in operating industries.

Objectives: The goal of our research is to systematize, analyse and evaluate technological and business concepts of Digital Transformation, in order to identify and investigate Digital Transformation initiatives in Croatia.

Methods/Approach: To accomplish this goal, we used a multiple-case study approach to gather data from experts who participated in successful Digital Transformation initiatives.

Results: Questionnaires were developed and used to gather both, qualitative background and technology-business related data relevant for Digital Transformation initiatives’ success, discussed in the last part of the paper. The limitation of this study is a relatively small number of case studies (6), as well as its local coverage, resulting therefore with conclusions, which will serve as a base for future studies.

Conclusions: There are several background, business, and technology-related concepts or factors relevant to Digital Transformation initiatives: profile and involvement of external Digital Transformation experts; the transformation drivers and expectations. In achieving most significant business concepts for business transformation, no single one right combination of technological concepts could be explicitly determined.

Parole chiave

  • digital transformation
  • industry 4.0.
  • technology
  • business
  • case study
  • initiative
  • Croatia

JEL Classification

  • O33
  • O32
  • O31
  • M15
  • L86
access type Accesso libero

Impact Evaluation of an Emerging European Health Project – the MIDAS Model

Pubblicato online: 13 Apr 2020
Pagine: 142 - 150

Astratto

Abstract

Background: This paper describes the impact evaluation of a large big data platform initiative that is being undertaken in order to increase the probability of its success. The initiative, MIDAS (Meaningful Integration of Data Analytics and Services), is a European health-based Horizon 2020 project comprising a consortium of members from various universities, research institutions, and government agencies.

Objectives: The purpose of the paper is to present a pioneering platform that will support healthcare policymakers in their decision-making by enabling greater and more efficient use of their data. The goal is to present and evaluate the results of the MIDAS project across four countries.

Methods/Approach: The literature is replete with examples of worthwhile technology projects that have failed due to user resistance. In order to avoid such failure, and ensure the success of the final MIDAS platform, a detailed impact evaluation is being undertaken at timed periods of development.

Results: This paper describes the impact evaluation process, outlining the use of Q-methodology and the development of a 36-item concourse using the HTMLQ system for that purpose.

Conclusions: This research contributes to the overall understanding of how impact evaluation can be undertaken at timed periods during the development of an innovative technology for organisational purposes.

Parole chiave

  • MIDAS
  • health-based project
  • decision support systems
  • data mining

JEL Classification

  • I18

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