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Article
Publication date: 22 January 2024

Fei Wang, Ning Nan and Jing Zhao

This study attempts to discover effective strategies for mobile commerce applications (apps) to grow their consumer base by releasing app strategic updates. Drawing on the…

Abstract

Purpose

This study attempts to discover effective strategies for mobile commerce applications (apps) to grow their consumer base by releasing app strategic updates. Drawing on the landscape search model from strategy research, this study conceptualizes mobile app update strategy as three interdependent decisions, i.e. what business elements are changed in an app strategic update, how substantial the changes are and when strategic updates are released relative to the competitive environment.

Design/methodology/approach

Using a field data set of 1,500 strategic updates of seven rival apps in the mobile travel market, this study integrated fuzzy set qualitative comparative analysis (fsQCA) with econometric analysis to analyze how app strategic update decisions interdependently influence app performance.

Findings

This study identified three effective and one ineffective mobile app update strategies from the mixed-method analysis, which verified the complex interdependency of app strategic update decisions. A general takeaway from these strategies is that a complex strategy problem on the mobile platform must be solved with respect to the constraints and capabilities of mobile technology.

Originality/value

This study moves beyond a linear view of the relationship between app update frequency and app performance and provides a holistic view of how and why app strategic update decisions mutually influence one another in their impact on app performance. This work makes contributions by identifying interdependency as a conceptual bridge between strategy and mobile app literature and developing an empirically testable version of the landscape search model.

Details

Industrial Management & Data Systems, vol. 124 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 29 December 2023

Dara Sruthilaya, Aneetha Vilventhan and P.R.C. Gopal

The purpose of this paper is to identify and analyze the interdependence of project complexity factors (PCFs) in metro rail projects using the Decision-Making Trial and Evaluation…

Abstract

Purpose

The purpose of this paper is to identify and analyze the interdependence of project complexity factors (PCFs) in metro rail projects using the Decision-Making Trial and Evaluation Laboratory (DEMATEL). The study provides qualitative and quantitative analysis of project complexities factors and their relationships. The results of the study facilitate effective project planning, proactive risk management and informed decision-making by stakeholders.

Design/methodology/approach

This study employs a case-based method for identifying PCFs and a DEMATEL method for analyzing the interdependence of complexity factors in metro rail projects. Initially, PCFs were identified through an extensive literature review. To validate and refine these factors, semi-structured interviews were conducted with thirty experienced professionals, each having 5–20 years of experience in roles such as project management, engineering, and planning. Further, elevated and underground metro rail projects were purposefully selected as cases, for identifying the similarities and differences in PCFs. A questionnaire survey was conducted with various technical experts in metro rail projects. These experts rated the impact of PCFs on a five-point Likert scale, for the evaluation of the interdependence of PCFs. The DEMATEL technique was used to analyze the interdependencies of the PCFs.

Findings

Metro rail projects are influenced by project complexity, which significantly impacts their performance. The analysis reveals that “design problems with existing structures,” “change in design or construction” and “land acquisition” are the key factors contributing to project complexity.

Originality/value

The study of project complexity in metro rail projects is limited because most of the studies have studies on examining complexity in mega projects. The existing literature lacks adequate attention in identifying project complexity and its effects on metro rail project performance. This research aims to bridge this gap by examining project complexity and interdependencies in metro rail projects.

Details

Built Environment Project and Asset Management, vol. 14 no. 2
Type: Research Article
ISSN: 2044-124X

Keywords

Article
Publication date: 13 September 2023

Prasetyo Adi Wibowo Putro, Dana Indra Sensuse and Wahyu Setiawan Setiawan Wibowo

This paper aims to develop a framework for critical information infrastructure (CII) protection in smart government, an alternative measure for common cybersecurity frameworks…

Abstract

Purpose

This paper aims to develop a framework for critical information infrastructure (CII) protection in smart government, an alternative measure for common cybersecurity frameworks such as NIST Cybersecurity Framework and ISO 27001. Smart government is defined as the government administration sector of CII due to its similarity as a core of smart technology.

Design/methodology/approach

To ensure the validity of the data, the research methodology used in this paper follows the predicting malfunctions in socio-technical systems (PreMiSTS) approach, a variation of the socio-technical system (STS) approach specifically designed to predict potential issues in the STS. In this study, PreMiSTS was enriched with observation and systematic literature review as its main data collection method, thematic analysis and validation by experts using fuzzy Delphi method (FDM).

Findings

The proposed CII protection framework comprises several dimensions: objectives, interdependency, functions, risk management, resources and governance. For all those dimensions, there are 20 elements and 41 variables.

Practical implications

This framework can be an alternative guideline for CII protection in smart government, particularly in government administration services.

Originality/value

The author uses PreMiSTS, a socio-technical approach combined with thematic analysis and FDM, to design a security framework for CII protection. This combination was designed as a mixed-method approach to improve the likelihood of success in an IT project.

Details

Information & Computer Security, vol. 32 no. 1
Type: Research Article
ISSN: 2056-4961

Keywords

Article
Publication date: 28 December 2023

Sameh Farhat Ammar

This study aims to investigate the dynamic interplay between the management control system (MCS) and organizational identity (OI) in the Deepwater Horizon incident involving…

Abstract

Purpose

This study aims to investigate the dynamic interplay between the management control system (MCS) and organizational identity (OI) in the Deepwater Horizon incident involving British Petroleum (BP). It examines how the MCS manages challenges, particularly those addressing the embarrassment stemming from identity disparities between external portrayal (frontstage) and internal operations (backstage), with a focus on the often-underestimated influence of the media.

Design/methodology/approach

This study builds upon the frameworks developed by Ravasi and Schultz (2006) and Malmi and Brown (2008) to construct a theoretical framework that profoundly investigates the relationship between MCS and OI. The framework developed guided the research design and incorporated a qualitative approach complemented by an illustrative case study. The research data was rigorously gathered from diverse sources, including official BP documents and influential media outlets, with a particular focus on well-established American and British newspapers.

Findings

BP’s MCS plays a dual role: it exposes discrepancies in safety, leadership and values, causing embarrassment and identity damage, yet catalyses a sense-making process leading to organizational transformation and shifts in the OI. This transformation influences sense-giving and prompts changes in MCS. The study reveals an intricate interplay in identity management between frontstage audiences (e.g. influential media) and backstage actors (e.g. BP’s senior management). It highlights interdependencies both within and between MCS and OI, emphasizing their roles in interacting within identity management. The longitudinal recovery is intricately tied to mutual political interests between BP and the USA, which are significantly facilitated by the media’s role.

Research limitations/implications

This study acknowledges limitations that point future research opportunities. Interviews could provide a more dynamic understanding of MCS changes and organizational transformations. Investigating the role of leadership, particularly the new chief executive office, and the influence of political versus organizational factors in shaping identity claims is essential. Additionally, the effectiveness and historical context of interdependencies should be quantitatively assessed. Theoretical limitations in the OI and MCS frameworks suggest the need for context-specific categorisations. This research serves as a foundation for further exploration of the intricate dynamics between MCS, OI and organizational responses to crises.

Practical implications

This study offers valuable insights with practical implications for organizations facing identity challenges in the wake of significant incidents. Organizations can better navigate crises by recognizing the multifaceted role of MCS in identity damage and restoration. It underscores the importance of addressing both frontstage and backstage aspects of OI while managing identity discrepancies, thereby enhancing transparency and credibility. Additionally, understanding the intricate interdependencies within OI and MCS can guide organizations in implementing more effective identity restoration strategies. Furthermore, the study highlights the significance of media influence and the need to engage with it strategically during crisis management.

Social implications

This study’s findings have significant social implications for organizations and the broader public. By recognizing the multifaceted role of MCS in shaping identity, organizations can enhance transparency and credibility, rebuilding trust with the public. Additionally, the study highlights the critical role of media in influencing perceptions and decision-making during crises, emphasizing the importance of responsible and ethical reporting. Understanding the intricate interplay between MCS and OI can inform better crisis management strategies and improve how organizations respond to and recover from incidents, ultimately benefiting society by promoting more accountable and responsible corporate behaviour.

Originality/value

This study’s distinctness lies in its innovative exploration of MCS, which transcends traditional methodologies that focus narrowly on front or backstage aspects of OI and often adhere to predetermined MCS practices. It underscores the importance of concurrently addressing both the front- and backstage audiences in managing the embarrassment caused by identity discrepancies and restoration. The research uncovers multifaceted interdependencies within MCS and OI, and these extend beyond simplistic relationships and emphasize the complex nature of identity restoration management.

Details

Sustainability Accounting, Management and Policy Journal, vol. 15 no. 2
Type: Research Article
ISSN: 2040-8021

Keywords

Article
Publication date: 1 November 2022

Ishita Batra and Sanjay Dhir

The study aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the inter-partner factors. International joint ventures (IJVs…

Abstract

Purpose

The study aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the inter-partner factors. International joint ventures (IJVs) literature has scantly studied the interactions and inter-relationships among the inter-partner factors of IJVs performance. To address this gap, this research creates a hierarchical relationship framework among the inter-partner factors of IJVs performance.

Design/methodology/approach

The comprehensive literature review is used to identify the factors and possible relationships between the factors and IJVs performance. M-TISM (modified total interpretive structural modelling) methodology is used to examine the relationship among the factors of IJVs performance.

Findings

This study highlights 12 inter-partner factors that affect IJVs performance. The results suggest that size asymmetry, commitment, goal incongruency, competitive overlap, trust, control, the interdependency of resources, cooperation, economic distance, cultural distance, geographical distance and administrative distance significantly impact IJVs performance. Commitment is found to be a linkage variable as it has high dependence and driving power. Goal incongruency and competitive overlap have high driving power.

Research limitations/implications

This study gives a proposed list of critical inter-partner factors for policymakers and practitioners to consider when developing rules or recommendations to improve IJVs performance. The focus of policymakers should be on economic and geographical distance, followed by cultural distance, competitive overlap, goal incongruency, size asymmetry and administrative distance to improve inter-relationship among the partners in IJVs. The work contributes to the academician by presenting a modified TISM model that highlights the significance of ambidexterity in driving the performance of IJVs.

Originality/value

This study fills a gap in the literature by analysing the interactions among the inter-partner parameters that influence the performance of IJVs. It offers insights into the variables, such as driver dependence and the relationships between the variables.

Details

International Journal of Productivity and Performance Management, vol. 73 no. 1
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 9 January 2024

Love Kumar and Rajiv Kumar Sharma

In the context of promoting sustainable development in SMEs, the present study aims to investigate the relationship among solution dimensions based on the Industry 4.0 (I4.0…

Abstract

Purpose

In the context of promoting sustainable development in SMEs, the present study aims to investigate the relationship among solution dimensions based on the Industry 4.0 (I4.0) concept.

Design/methodology/approach

The study employs a comprehensive methodology that includes a systematic literature review, workshop, grounded theory and interpretive structural modeling. Various dimensions concerning I4.0 sustainability are tested and evaluated using a questionnaire design followed by hypothesis formulation. Further, grounded theory is used to extract the key solution dimensions that capture the essence of I4.0 implementation in SMEs. Finally, the solution dimensions for I4.0 sustainability are modeled using the ISM approach to understand the structural interdependencies among them, and Matrice d'Impacts Croisés Multiplication Applied to a Classification (MICMAC) analysis is done to understand the driving and dependence power among these dimensions.

Findings

The study identified 14 solution dimensions for the implementation of I4.0 in SMEs for sustainable development. Out of the 14 solution dimensions, human resource training programs (D4) appear at level 11, followed by top management commitment (D1), strategic collaborations (D3) and coordination among key stakeholders (D5) at level 2 in the hierarchical interpretive structural modeling (ISM) model. Also, these dimensions have an effect size of more than 0.50 which indicates a substantial correlation between the sustainability dimensions and Industry 4.0 implementation in SMEs.

Originality/value

The study contributes to the overall goal of fostering sustainability within the SME sector, which can pave the way for various stakeholders for the successful implementation of I4.0 sustainable solution dimensions.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 14 February 2024

Batuhan Kocaoglu and Mehmet Kirmizi

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority…

Abstract

Purpose

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.

Design/methodology/approach

A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.

Findings

Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.

Research limitations/implications

The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.

Originality/value

A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 29 November 2023

Premaratne Samaranayake, Krishnamurthy Ramanathan and Weerabahu Mudiyanselage Samanthi Kumari Weerabahu

The main purpose of this research is to (1) prioritise key determinants of Industry 4.0 (I4.0) readiness assessment and (2) evaluate causal relationships among those determinants…

Abstract

Purpose

The main purpose of this research is to (1) prioritise key determinants of Industry 4.0 (I4.0) readiness assessment and (2) evaluate causal relationships among those determinants and associated sub-criteria based on inputs from industry experts.

Design/methodology/approach

The methodology involved two phases: (1) an MCDM approach for determining causal relationships among determinants and (2) empirical validation of findings from the first phase using industry experts' inputs.

Findings

It was found that while the choice of I4.0 technologies is important, organisational factors are also critical, as evidenced by the ranking of the “Strategy and Organisation” determinant as the highest rank prominent determinant. Also, the ranking of the sub-criteria within each determinant shows the importance of several organisational influencing and resulting sub-criteria.

Research limitations/implications

This research extends the existing literature on I4.0 by demonstrating the prioritisation of determinants and delineating causal relationships among them and associated sub-criteria as a basis for developing I4.0 adoption guidelines. This research is limited to the specific scope of determinants selected/considered and experts' inputs from the Sri Lankan manufacturing sector. Future studies could consider extending this research into a broader global manufacturing context.

Practical implications

Prioritisation and causal relationships of I4.0 readiness assessment determinants, supported with inputs from functional managers and industry experts, could be used to guide practitioners in developing guidelines for I4.0 adoption in a phased manner.

Originality/value

This research provides a re-evaluation and validation of a selected I4.0 readiness assessment framework from the perspectives of interdependencies and casual relationships among its determinants and sub-criteria, based on inputs from industry experts as a basis for developing guidelines for I4.0 adoption.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 19 February 2024

Anwesa Kar and Rajiv Nandan Rai

The concept of sustainable product design (SPD) is gaining significant attention in recent research. However, due to inherent uncertainties associated with new product development…

Abstract

Purpose

The concept of sustainable product design (SPD) is gaining significant attention in recent research. However, due to inherent uncertainties associated with new product development and incorporation of multiple qualitative and quantitative criteria; SPD is a complex and challenging task. The purpose of this paper is to introduce a novel approach by integrating quality function deployment (QFD), multi-criteria decision making (MCDM) technique and Six Sigma evaluation for facilitating SPD in the context of Industry 4.0.

Design/methodology/approach

The customer requirements are evaluated through the neutrosophic-decision-making trial and evaluation laboratory-analytic network process (DEMATEL-ANP)-based approach followed by utilizing QFD matrix to estimate the weights of the engineering characteristics (EC). The Six Sigma method is then employed to evaluate the alternatives’ design based on the ECs’ values.

Findings

The effectiveness of the suggested approach is illustrated through an example. The result indicates that utilization of the neutrosophic MCDM technique with integration of Six Sigma methodology provides a simple, effective and computationally inexpensive method for SPD.

Practical implications

The proposed approach is helpful in upstream evaluation of the product design with limited experimental/numerical data, maintaining a strong competitive position in the market and enhancing customer satisfaction.

Originality/value

This work provides a novel approach to objectively quantify performance of SPD under the paradigm of Industry 4.0 using the integration of QFD-based hybrid MCDM with Six Sigma method.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 6 February 2024

Junyi Chen, Buqing Cao, Zhenlian Peng, Ziming Xie, Shanpeng Liu and Qian Peng

With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application…

Abstract

Purpose

With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application recommendation approaches based on user attributes and behaviors have achieved notable effectiveness, they overlook the diffusion patterns and interdependencies of topic-specific mobile applications among user groups. mobile applications among user groups. This paper aims to capture the diffusion patterns and interdependencies of mobile applications among user groups. To achieve this, a topic-aware neural network-based mobile application recommendation method, referred to as TN-MR, is proposed.

Design/methodology/approach

In this method, first, the user representations are enhanced by introducing a topic-aware attention layer, which captures both the topic context and the diffusion history context. Second, it exploits a time-decay mechanism to simulate changes in user interest. Multitopic user representations are aggregated by the time decay module to output the user representations of cascading representations under multiple topics. Finally, user scores that are likely to download the mobile application are predicted and ranked.

Findings

Experimental comparisons and analyses were conducted on the actual 360App data set, and the results demonstrate that the effectiveness of mobile application recommendations can be significantly improved by using TN-MR.

Originality/value

In this paper, the authors propose a mobile application recommendation method based on topic-aware attention networks. By capturing the diffusion patterns and dependencies of mobile applications, it effectively assists users in selecting their applications of interest from thousands of options, significantly improving the accuracy of mobile application recommendations.

Details

International Journal of Web Information Systems, vol. 20 no. 2
Type: Research Article
ISSN: 1744-0084

Keywords

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