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The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

The motivation to participate in crowdsourcing (CS) platforms is an emerging challenge. Although researchers and practitioners have focused on crowd motivation in the past, the results obtained through such practices have not been satisfactory. Researchers have left unexplored research areas related to CS pillars, such as the evolution of the crowd’s primary motivations, seekers applying effective policies and incentives, platform design challenges and addressing task complexity using the synchronicity of the crowd. Researchers are now more inclined to address these issues by focusing on sustaining the crowd’s motivation; however, sustaining the crowd’s motivation has many challenges.

To fill this gap, this study conducted a systematic literature review (SLR) to investigate and map the challenges and factors affecting sustained motivation during CS with the overcoming implications. Studies that satisfied the inclusion criteria were published between 2010 and 2021.

Important sustainable factors are extracted using the grounded theory that has sustained participation and the factors' cohesion leads to the identification of challenges that the pillars of CS face. Crowds being the most vital part of CS contests face the challenge of engagement. The results reported the factors that affect the crowd’s primary and post-intentions, perceived value of incentives and social and communal interaction. Seekers face the challenge of knowledge and understanding; the results identify the reason behind the crowd’s demotivation and the impact of theories and factors on the crowd's psychological needs which helped in sustaining participation. Similarly, the platforms face the challenge of being successful and demanding, the results identify the latest technologies, designs and features that seekers proclaim and need the platforms designer's attention. The identified task challenges are completion and achievement; the authors have identified the impact of trait of task and solving mechanisms that have sustained participation.

The study identifies, explores and summarizes the challenges on CS pillars researchers are facing now to sustain contributions by keeping participants motivated during online campaigns. Similarly, the study highlights the implication to overcome the challenges by identifying and prioritizing the areas concerning sustainability through the adoption of innovative methods or policies that can guarantee sustained participation.

A reconfigurable manufacturing system (RMS) can provide manufacturing flexibility, meet changing market demands and deliver high performance, among other benefits. However, adoption and performance improvement are critical activities in it. The current study aims to identify the important factors influencing RMS adoption and validate a conceptual model as well as develop a structural model for the identified factors.

An extensive review of RMS articles was conducted to identify the eight factors and 47 sub-factors that are relevant to RMS adoption and performance improvement. For these factors, a conceptual framework was developed as well as research hypotheses were framed. A questionnaire was developed, and 117 responses from national and international domain experts were collected. To validate the developed framework and test the research hypothesis, structural equation modeling was used, with software tools SPSS and AMOS.

The findings support six hypotheses: “advanced technologies,” “quality and safety practice,” “strategy and policy practice,” “organizational practices,” “process management practices,” and “soft computing practices.” All of the supported hypotheses have a positive impact on RMS adoption. However, the two more positive hypotheses, namely, “sustainability practices” and “human resource policies,” were not supported in the analysis, highlighting the need for greater awareness of them in the manufacturing community.

The current study is limited to the 47 identified factors; however, these factors can be further explored and more sub-factors identified, which are not taken into account in this study.

Managers and practitioners can use the current work’s findings to develop effective RMS implementation strategies. The results can also be used to improve the manufacturing system’s performance and identify the source of poor performance.

This paper identifies critical RMS adoption factors and demonstrates an effective structural-based modeling method. This can be used in a variety of fields to assist policymakers and practitioners in selecting and implementing the best manufacturing system.

The study aims to identify salespeople’s challenges while selling newly launched products in the fast-moving consumer goods (FMCG) sector by examining the holistic environment in which they perform their selling tasks. Furthermore, it develops a hierarchical model mapping the interrelationships between identified challenges to explore their dependence and driving power through qualitative research techniques.

The current study is exploratory and inductive in its research design. It used focus-group discussion (FGD), semistructured interviews and thematic content analysis (TCA) to identify new-product selling challenges in the FMCG sector. The identified factors were then worked into a hierarchical model using total interpretive structural modeling (TISM) to analyze their relationship. The factors were further classified into clusters based on their driving and dependence power, with the help of the Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) technique

The TISM and MICMAC results identified salespeople’s most critical new-product selling challenges in the FMCG sector: product innovation, product differentiation, customer perception and market turbulence. An enhanced organizational focus on these factors will ensure that salespeople get adequate input to tackle the challenges they face while selling newly launched FMCG products.

The study was confined to identifying challenges in the FMCG sector alone but offered scope for application in other sectors.

This study will help organizations to identify and close gaps in the new-product selling process, thereby improving the performance of salespeople and contributing to a new product’s success. The study findings have a bearing on various stages of product development, management and life cycle. They also highlight the need for greater synergy between an organization’s sales force and other departments.

To the best of the authors’ knowledge, this research is unique in identifying new-product selling challenges in the FMCG sector. It also delineates the complex Web of interrelationships between them and classifies the identified factors based on their driving and dependence on power. The research results can help in organizational decision-making and sales practices, empowering salespeople in their new-product selling tasks.

Air transport accounts for nearly 40% worth of the global trade cargo volume, where more than 50% of the air cargo is carried on passenger flights. Therefore, this paper aims to focus on identifying the influencing factors for both passenger and cargo demand-driven networks to smoothen the global supply chain.

The data for the study was collected through literature reviews and interviews with industry experts. The analytical hierarchy process was used to analyze the expert's opinions on the critical factors affecting air cargo demand growth. Regression analysis was conducted using the selected variables to develop a model to calculate air cargo demand growth.

According to the expert opinion, it was identified that facilities under airport capacities and facilities are mainly affected by the air cargo carried by combi carriers. The model was developed considering the air connectivity index and air cargo demand at destination variables.

The factors identified here are mainly related to the current situation in Sri Lanka. Applying this methodology to other economic zones will add new factors related to their economic contexts and could be generalized as the influencing factors for the growth of air cargo demand by finding more results.

Previous studies have been conducted using different factors and models to forecast air cargo demand, and those did not consider demand from combi and all-cargo carriers together. More than 98% of air cargo trades in Sri Lanka are happening through combi carriers. Hence, Sri Lanka will be a best case study to analyze the behavior of combi carriers.

The purpose of this paper is to identify the major public–private partnership (PPP) risks in infrastructure projects in Afghanistan and explain the extent to which extent the identified risks can shed light on the PPP implementation study in general.

Initially, 78 risks were identified through considering international laws and regulations, criteria for using PPP in developing and underdeveloped countries, and case studies. Later, 23 of the more important risks were determined, ranked and classified into five main groups.

Finally, these risks were adapted with some investigations conducted in the PPP field. Although some of the risks identified in this survey are unique to Afghanistan, this research can be used to develop the application of PPP generally.

PPP is one possible solution to finance infrastructure projects. However, there are a lot of risks, which make this method inefficient in Afghanistan. Therefore, identifying the risks of PPP can play an important role in improving the infrastructures of Afghanistan.

Selecting an appropriate partner is a vital and strategic decision-making process in any supply chain collaboration initiative. The purpose of this paper is to introduce and explore the key factors considered by manufacturers in the selection of an appropriate retailer(s) for collaboration and collaborative planning, forecasting and replenishment (CPFR) implementation and the relationships between these factors.

A comprehensive literature review and experts’ views are applied to identify the main retailer selection and evaluation factors for CPFR implementation. A fuzzy decision-making trial and evaluation laboratory approach is then used to rank and analysis the interaction among identified factors. The findings are finally evaluated using a case study from a high-tech industry.

The most important partner selection factors comprising of five dimensions and 24 factors are introduced. Of the identified criteria, three factors: manufacturer’s familiarity with the retailer, workforce skills and training and customer service orientation and capability have been identified as critical when selecting retailers for CPFR implementation. The technological capabilities dimensions are identified as the only net cause dimension which affects all other dimensions and its importance and role in simplifying and enhancing the speed and flexibility of CPFR implementation.

The paper identifies practical retailer selection factors for CPFR implementation and the causal relationships between factors. Developed retailer selection dimensions and criteria will assist manufacturers and retailers in understanding the role these factors play in CPFR implementation. This will also assist in appropriate retailer(s) selection by manufacturers.

This paper contributes to the literature on CPFR and tackles the important issue of selecting appropriate partners by developing retailer selection dimensions and criteria in CPFR implementation.

The purpose of this paper is to refine and expand technology adoption theory for a healthcare logistics setting by combining the technology–organization–environment framework with a business process management (BPM) perspective. The paper identifies and ranks factors impacting the decision to implement instances of technologies in healthcare logistics processes.

A multiple case study is carried out at five Danish hospitals to investigate the bed logistics process. A combined technology adoption and BPM lens is applied to gain an understanding of the reasoning behind technology adoption.

A set of 17 factors impacting the adoption of technologies within healthcare logistics was identified. The impact factors perceived as most important to the adoption of technologies in healthcare logistics processes relate to quality, employee work conditions and employee engagement.

This paper seeks to understand how managers can use knowledge about impact factors to improve processes through technology adoption. The findings of this study provide insights about the factors impacting the adoption of technologies in healthcare logistics processes. Differences in perceived importance of factors enable ranking of impact factors, and prioritization of changes to be implemented. The study is limited to five hospitals, but is expected to be representative of public hospitals in developed countries and applicable to similar processes.

The study contributes to the empirical research within the field of BPM and technology adoption in healthcare. Furthermore, the findings of this study enable managers to make an informed decision about technology adoption within a healthcare logistics setting.

Existing models of critical success factors of software projects have less concentration on communication, team, project management and product related factors. Hence, the purpose of this paper is to develop a conceptual model of critical success factors (CSFs) for software development projects, categorize the success factors, finding the factors in each category and highlighting the product, team, project management and communication factors as important categories of success factors for software projects.

A conceptual model and seven categories of success factors comprising a total of 80 success factors for software development projects were identified based on the thorough literature review. These 80 factors are collected based on their importance to software projects and their repeated occurrence in the literature related to CSFs. Based on the occurrence of the success factor in the literature, each category comprising top five success factors are identified as critical success factors for software projects. Based on these seven categories of success factors a conceptual model was developed.

A total of 35 CSFs from seven CSF categories are identified from secondary research of the CSFs for software development projects. The identified CSFs include communication in project, top management support, clear project goal, reliability of output, project planning, teamwork, project team coordination, quality control, client acceptance, accuracy of output, reduce ambiguity, maximize stability, realistic expectations and user involvement. Project management, product, team and communication factors are identified as important categories of success factors for software projects.

Different categories of critical success factors such as product, project management, team and communication, which were not highlighted or categorized earlier in the literature are discussed in this current work.

This research is definitely useful for organizations working on software projects. The project managers working in the industry can benefit from the mentioned critical success factors and the categories of factors by concentration on them while planning and executing software projects.

The conceptual model, categorization of CSFs, identifying 35 CSFs for software projects and highlighting product, team and communication factors are major contributions of this research work.

The purpose of this paper is to explore and identify the contextual quality management practices (QMP) and to empirically examine their underlying dimensions and its direct influence or association with performance in context to Indian IT enabled service small- and mid-size enterprises (SMEs).

The methodology adopted in this study is sequential exploratory mixed method approach. This study adopts two stage processes of capturing data, first identifying critical QMP/indicators as obtained from review of literature, followed by in-depth interview based on semi-structured questionnaire from sample of 20 select service SMEs. Based on comprehensive compilation of literature as well as through in-depth interview 21 QMP have been identified. Structured instrument has been developed taking measures as identified. The QMP relevant to SMEs have been derived from Kaynak (2003), Samat et al. (2006), Salaheldin (2009), Kim et al. (2012) and Talib et al. (2013b). The research instrument developed was customised and adapted to the background of Indian IT enabled service SMEs. Similarly for measuring quality performance five items have been identified from previous literature. Five-point Likert scale ranging from “5=strongly agree” to “1=strongly disagree” is used to show the agreement of the respondents. Exploratory factor analysis has been deployed to identify underlying dimensions of QMP. Thereafter, linear regression modelling has been done to better understand the relationships between QMP and quality performance.

A three-factor solution has been obtained and the individual practices could be reconfigured into three dimensions, namely, organisational management, capacity management and quality documentation and security management (QDSM). The findings reflect that strength of Indian IT enabled service SMEs pertaining to quality implementation lie with customer focus, training and service-level management (SLM). Regression analysis shows that all three factor dimensions are positively influencing quality performance. The predictor score of three factor dimensions clearly reflects that Indian SMEs in service sectors have been focusing more on organisational culture and QDSM. The overall findings resemble very interesting insights which gives indication of unstructured pattern of approach. Keeping in view the pattern of practices it can be predicted that Indian digital SMEs are not practicing continuous improvement. It could be inferred that Indian IT enabled service SMEs approach is non-continuous in nature.

Further analysis may be needed to measure the construct using confirmatory factor analysis (CFA). The research paper is limited by including only six service sub-sectors which may not be adequate to generalise the results for the entire IT enabled/digital service SMEs within India. The same study can be extended by incorporating more quality management (QM) variables and other contextual factors within the organisation and by involving other service sector SMEs. Future research could be done by incorporating multi-contingency framework and moreover researchers may deploy other sophisticated tools and techniques to investigate how individual QMP are interrelated and its influence on performance by means of linkage research. The conceptual model developed can be validated by incorporating other service sector SMEs by deploying CFA and structural modelling.

This study could be beneficial to entrepreneurs and managers of start-ups and other service industries towards understanding improvement and changing their implementation approach. The theoretically grounded conceptual framework developed could provide entrepreneurial insights to new service managers and entrepreneurs who can better allocate their scarce resources to build quality and scalability effectively.

This study adds to the literature in identifying and showing importance of QMP in Indian IT enabled service SMEs. This choice is appropriate for this study as no prior research has been found to be conducted on this particular sector from Indian context, especially from service SMEs point of view. This research contributes in identifying new QMP (i.e. service reporting; content management; SLM and information and security management). Overall, the results of this study contribute towards advancing the understanding of the dimensionality of QM. To the best of the authors’ knowledge, this study is the first study being undertaken in context to Indian IT enabled service SMEs and is believed that the study provides valuable knowledge from the perspective of QM issues pertaining to Indian service firms.