Common Critical Success Factors Research Articles

How Artificial Intelligence Drives Sustainable Frugal Innovation: A Multitheoretical Perspective

Recent globalization and industrialization efforts have pushed many companies to seriously consider innovation efficiency and its effectiveness. Industries seek to integrate innovation thinking in the company, resulting in different innovation theories. However, these theories become mostly ineffective when disruptions such as pandemics, political instability, or other natural events occur. In response to such disruptions, frugal innovation has been adopted in recent years because it can maximize efficiency with fewer resources. While frugal thinking is effective from an economic perspective, not enough attention has been devoted to exploring this innovative thinking method from the perspective of other pillars of sustainability (environment and society). This article focuses on this gap to deepen the understanding of sustainable frugal innovation in a recent business environment under various theoretical perspectives (triple bottom line, diffusion of innovation, and critical success factor theories). Technology is a vehicle for innovation, so this article integrates the technological advantages of AI with sustainable frugal innovation as a driving force for its effective implementation; other existing studies are limited. Integrating AI with sustainable frugal innovation requires precise actions that can be the result of understanding AIs critical success factors from the perspectives of sustainable frugal thinking. Therefore, this article analyzes the critical success factors for AI through grey DEMATEL. A research framework has been proposed and validated with a Danish case study context. Among 24 overall common critical success factors, “understanding the concept of AI” and “level of AI investment” in sustainable frugal innovation are identified as the most influential success factors. In addition, influential connections among other overall common success factors are presented. These findings could motivate industries to explore different options for successfully integrating AI with their sustainable frugal thinking, which may increase their business competitiveness during disruptions in a more sustainable way.

Effects of Big Data Analytics on Sustainable Manufacturing: A Comparative Study Analysis

Application of big data analytics (BDA) is seen in various disciplines within an organization to predict trends, explore opportunities and monitor performance. Among all the industries, BDA presents immense value in sustainable manufacturing (SM) given that it is an industry that consumes a high amount of energy, emits high amounts of waste and carbon emissions and requires a large amount of manpower. This paper aims at illustrating the effects of BDA in supporting SM by studying the Indian manufacturing firms which have unfavorable labor laws compared to other developing countries. With an extensive literature review, this paper discusses the relationship between BDA and sustainability, the capabilities of BDA, the concept of SM, the BDA framework for SM, the relationship between Industry 4.0 and SM and the challenges of implementing BDA. Using qualitative meta-analysis research methodology, the paper examines the nine common critical success factors that enable SM through BDA implementation by comparing 15 primary studies. Finally, the paper concludes the research findings and outlines future research directions. The study provides theoretical and practical contributions to BDA implementation in achieving effective SM practices in emerging economies.

Identification of critical success factors for leveraging Industry 4.0 technology and research agenda: a systematic literature review using PRISMA protocol

PurposeThe purpose of the paper is to identify existing and common critical success factors adapted for implementing Industry 4.0 technology, which is essential to survive in the vulnerability, uncertainty, complexity and ambiguity (VUCA) environment by using systematic literature review (SLR) methodology with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) and content analysis strategy.Design/methodology/approachThe SLR methodology with the PRISMA and content analysis strategy adapted to review 74 papers in peer-reviewed academic journals and industry reports published from 2014 to 2021.FindingsBased on a review of relevant literature, two theoretical contributions have been added to the literature on Industry 4.0. First, this review reveals that 35 (47%) out of total 74 studies assessing the Industry 4.0 implementation in the manufacturing industry, the service industry can also create value through Industry 4.0 implementation, with a lot of potential to increase productivity, which literature has not explicitly focused on. Second, this paper proposes the 12 most common critical factors (training and development, organizational culture, top management support, organizational structure, innovation capability, technological infrastructure, security system, standardization of procedures, financial resources, communication and cooperation, change management and governance) that can be considered as the significant critical factors for successful implementation of Industry 4.0.Originality/valueThe novelty part related to methodological perspective by using the PRISMA approach for systematic review, which cannot be found extensively in existing literature in the context of the Industry 4.0 phenomenon to analyze critical factors.

Examining the Critical Success Factors in IT Projects

Many companies experience IT project failures in relatively new areas such as Big Data, Data Science, Enterprise Systems, Blockchain, Cloud Computing, IT security, and IoT. Because of inadequate research in identifying critical success factors for these projects, we conducted a Delphi study employing separate panels for each of two kinds of project implementations, those using a predictive lifecycle approach and those using an adaptive lifecycle approach. We found common critical success factors: user/client involvement, senior management support, effective monitoring and control, effective communication and feedback, good change and configuration management, having a competent project manager, proper project leadership, and excellent vendor performance. Both predictive and adaptive lifecycle IT projects had certain unique critical success factors. The findings provide guidance to IT Project Managers.

Modeling Lean and Six Sigma Integration using Deep Learning: Applied to a Clothing Company

Abstract Implementation of Lean and Six Sigma methodologies enable companies to boost their competitiveness and their efficiency. However, the adoption of these approaches is very much restricted in the Textile and Clothing sector in Morocco. In fact, despite all the advances in these methodologies and practical approaches, defining a rational implementation strategy such as the adequate chronology and the prediction of the expected success level are still a part of a fierce debate and an impediment for practitioners. The result is that only 11 companies out of 1,200 Moroccan clothing companies have successfully implemented Lean and Six Sigma. This article, based on an intelligent model, draws up a support tool to the clothing stakeholders, or otherwise aims to successfully integrate Lean and Six Sigma using Deep Learning. The neural network was trained for the prediction of success level rate and customizing of Lean and Six Sigma implementation chronology with the help of weights and maturity of a set of common critical success factors (CSFs). These CFSs were selected as input data. Then, the dataset have been used for training, testing, and validating the neural network model. To evaluate the trained network, 25% of the data have been used and a tuning hyperparameter process has been designed to reinforce the model performance. For the performance indices such as Categorical Cross Entropy (CCE), the defined loss function, accuracy, and precision have been evaluated and optimized. The developed model can then define the adequate chronology and predict success level with an accuracy of 97%. The trained neural network was then applied to a clothing company as a guide to the success of its continuous improvement project.

Modelling the common critical success factors for the adoption of Lean Six Sigma in Indian industries

Modelling the common critical success factors for the adoption of Lean Six Sigma in Indian industries

Modeling the common critical success factors for adoption of Lean Six Sigma in Indian industries

This paper analyses the aspects for successful implementation of Lean Six Sigma (LSS) in manufacturing, service and healthcare sectors in India. The information available in the literature is not very comprehensive for LSS implementation. It is an attempt to find effective critical success factors in Indian industries. A survey questionnaire was used for the data collection on critical success factors for effective Lean Six Sigma implementation in the organisation. A total of 186 responses received from 450 industries including three sectors. Automobile manufacturing industries have maximum numbers of application in LSS implementation. Hypothesis testing was used for validation of the common critical success factors. Mean and standard deviation was used for the priority of common critical success factors. Top management initiatives towards LSS, structured review approach of LSS to manage quality improvement activities, mentoring by Master Black Belt (MBB) in an improvement project, organisational roles and responsibilities linkage with LSS were found to be top four common CSFs in Indian industries. The output of this study can be used as a guide for successful implementation of LSS in Indian industries with increased success ratio.

Business process management success framework for transition economies

ABSTRACTThis article presents business process management (BPM) framework, which considers the specific circumstances in transition economies. The analysis of 47 papers shows that in addition to common critical success factors, BPM adoption in transition economies should also consider factors such as environment, external stakeholders impact, ownership, and implementation context. The proposed framework contributes to the theory by offering a solid foundation for future research and to the practice by indicating essential constructs for effective BPM.

Identifying the Critical Success Factors and an Optimal Solution for Mobile Technology Adoption in Travel Agencies

AbstractTo effectively use of mobile technologies, this study develops a multifaceted framework to analyze critical success factors and determine an optimal solution for mobile technology adoption by using hybrid multiple criteria decision‐making methods. The results show that the most important and common critical success factors (CSFs) are top management support and consumer needs. Meanwhile, experienced adopters also addressed market trends and customer relationships, as well as prioritized the adoption of mobile websites, whereas potential adopters were concerned about organizational innovativeness and considered quick response (QR) codes as the most suitable mobile technology. Finally, some academic and managerial implications are offered at the end of the study. Copyright © 2016 John Wiley & Sons, Ltd.

Pathways to meet critical success factors for local PPPs: The cases of urban transport infrastructure in Korean cities

Public–Private Partnerships (PPPs) have been utilized extensively in both developed and developing countries to provide various public services and infrastructure. The literature points to many common critical success factors, including a mature financial market, transparent regulatory framework, advanced technology, and people's acceptance of new forms, but those can vary from country to country. South Korea's mature market capitalist system and strong regulatory framework have led to somewhat successful infrastructure provision through PPPs at the national level, but as our two cases of urban transportation in the Seoul Metropolitan Area indicate, local-level PPPs have demonstrated mixed results. By elaborating on the factors that affect the outcomes of PPPs at the local level, we argue that under a relatively new local democracy, Korean cities are likely to be susceptible to producing unfair contracts mainly due to limited local fiscal authority and resources, opportunistic behavior of local politicians, an underdeveloped urban institutional framework for PPPs, and the rise of new conditions such as economic nationalism intermixed with speculative foreign investment.

Factors contributing to successful public private partnership projects

PurposeWith the increasing interest in public private partnership (PPP), there is a need to investigate the factors contributing to successful delivery of PPP projects. The purpose of this paper is to analyze the perceptions of respondents from Hong Kong, Australia and the UK on the importance of 18 such factors.Design/methodology/approachAn empirical questionnaire survey was conducted in Hong Kong and Australia. The survey respondents were asked to rate 18 factors which contribute to delivering successful PPP projects.FindingsThe findings from this survey were further compared with the results achieved by a previous researcher in a similar survey conducted in the UK. The comparison showed that amongst the top five success factors ranked by Hong Kong respondents, three were also ranked highly by the Australians and British. These success factors included: “Commitment and responsibility of public and private sectors”; “Strong and good private consortium”; and “Appropriate risk allocation and risk sharing”. Therefore, it can be concluded that there are certain common critical success factors for conducting PPP projects, irrespective of the geographical locations.Originality/valueThe findings presented in this paper have highlighted the most significant critical success factors which may be applicable to all jurisdictions, and also those which are specifically for Hong Kong and Australia. It is believed that the participants of future PPP projects can use these findings to maximize the success of conducting similar projects.

An eyeball diagram: illustrating the common CSFs in e-commerce business satisfaction for successful adoption of e-commerce systems by SMEs

Previous research has determined that the measurement of business satisfaction (e-commerce business satisfaction – EBS) with e-commerce success could be a better determinant of successful business adoption of an e-commerce system than measuring from a customer perspective. The aim of this continuing research is to determine if common critical success factors (CSFs) exist for EBS across different countries. Based on 73 initial items from previous research, a blend of quantitative and qualitative research methods was used to gather data from SMEs in Australia and China. The data were analysed using repeated reliability analysis comprising initial reliability analysis, validity analysis, one-sample t-testing, identification of common items, independent-samples t-testing, factor analysis, and detailed reliability analysis. A total of 15 items were identified as Common CSFs. An eyeball diagram illustrates the Common CSFs and their relationships. Further research is needed using the Common CSFs as a basis to develop a more effective tool for SMEs to successfully adopt an e-commerce system.

Barriers and success factors in health information technology: A practitioner's perspective

Healthcare information technology is a key factor in improving quality and reducing cost in healthcare, and yet, the successful implementation of health IT varies greatly among healthcare systems. A review of the health IT literature supplemented by an analysis of the experience of successful IT implementation in Maccabi Healthcare Services, reveals that, despite differences among countries, common barriers to implementation of health IT and common critical success factors can be identified. Barriers include lack of clear benefits, sufficient incentives and adequate support for clinicians as well as payer–provider relationships, marketplace competition and privacy legislation. Critical success factors are innovative leadership, integrated management and collaboration with the doctors based on concrete needs, benefits, incentives and support. Dilemmas for managers include proof of return on investment for health IT versus leadership and tough management decisions; the optimal balance in the tradeoff between market dynamics, competition and choice, and the value of an integrated system that can generate significant benefit to clinicians, patients and payers; and the appropriate balance between privacy and improved quality of care, including the reduction of clinical error.

Common Critical Success Factors for Integrating Mergers and Acquisitions

Successfully integrating two companies involved in a merger or an acquisition is one of the greatest challenges for management. Added to the challenge of running the ongoing operations of two companies is the challenge of bringing together two sets of corporate strategies, structures and management systems, human resources, and corporate politics and cultures. The expectation is that, somehow, this change will lead to economic advantage. Several “critical success factors” are common to the integration phase of mergers and acquisitions. When properly fit with the particular nature of a specific merger or acquisition, these factors can help organize and guide management’s efforts. They include: managing to avoid “corporate vacuums” (information, leadership, or authority vacuums); establishing and maintaining a “positive initiative;” assuring that top management stays actively involved; managing employee resistance as an asset rather than a liability; and minimizing “organizational drift.” A successful integration is unlikely without sufficient attention to these factors.