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This paper aims at understanding how automotive firms integrate customer relationship management (CRM) tools and big data analytics (BDA) into their marketing strategies to enhance total quality management (TQM) after the coronavirus disease (COVID-19).

A qualitative methodology based on a multiple-case study was adopted, involving the collection of 18 interviews with eight leading automotive firms and other companies responsible for their marketing and CRM activities.

Results highlight that, through the adoption of CRM technology, automotive firms have developed best practices that positively impact business performance and TQM, thereby strengthening their digital culture. The challenges in the implementation of CRM and BDA are also discussed.

The study suffers from limitations related to the findings' generalizability due to the restricted number of firms operating in a single industry involved in the sample.

Findings suggest new relational approaches and opportunities for automotive companies deriving from the use of CRM and BDA under an overall customer-oriented approach.

This research analyzes how CRM and BDA improve the marketing and TQM processes in the automotive industry, which is undergoing deep transformation in the current context of digital transformation.

The purpose of this paper is to explain how enterprise resource planning (ERP) implementation evolves by cloud computing in different industries with different delivery models of cloud ERP. This paper also investigates infrastructure as a service (IaaS) as a delivery approach for cloud ERP. Case research on IaaS is rarely found in the literature. In addition, this paper intends to reveal how this transformation from on-premises to the cloud would influence the ERP implementation process.

A multiple-case study is conducted to identify the different deployed models of cloud ERP systems in the implementation projects. The influences of emerging cloud computing technology on ERP implementation are investigated by interviewing consultants related to the projects.

The findings illustrate that not only software as a service (SaaS) but also IaaS and platform as a service cloud computing services are widely applied in cloud ERP implementation. This study also indicates that certain technical limitations of cloud ERP might have a positive effect on the outcome of ERP implementation.

This study investigates how cloud computing influences ERP implementation from different aspects. The result identifies both SaaS and IaaS as two different approaches widely adopted in cloud ERP implementation. Besides, this study has discussed in-depth and analyzed these two cloud ERP paradigms in five factors, including functionality, performance, portability, security, cost and customization. The classification and suggestions are original to the literature.

This paper aims to investigate business-to-business sales executives’ navigation of challenges and changes in planning during two separate periods (prevaccine and postvaccine) of time, which were impacted by a disruptive event (the COVID-19 pandemic).

This study uses a two-phase qualitative data collection approach. Thirteen executives, primarily from the Business-to-Business (B2B) manufacturing industry, were interviewed in phase one (2–3 months before the first COVID-19 vaccine). The second period of data collection was collected 4–5 months after vaccines became available.

The prevaccine business environment focused on short-term challenges, while the vaccine created exponential changes to long-term sales practices, suggesting the need to focus on critical inflection points that occur after the initial disruptive event.

This exploratory study is a step toward developing a deeper understanding of managing disruptive events within a business-to-business sales environment by stressing the importance of both the actual disruptive event and the inflection points that follow the event.

New business models are constantly developing and evolving. However, this study suggests the biggest changes could occur after an inflection point from the disruption. Thus, firms need to consider different planning strategies before and after certain inflection points following a disruptive event. First, firms should adapt from their predisruption strategy to focus on short-term challenges during the initial phases of a disruption, likely halting most of the long-term planning. Second, inflection points create the need to move beyond short-term challenges and changes to focus on long-term changes. Third, long-term strategies and planning postinflection point will be different, and likely more complex, than long-term strategies and planning predisruption.

Most studies look at a disruptive event through a single data collection period. This longitudinal study compares prevaccine and postvaccine thought processes to explore the impact of an inflection point.

This study collected the bibliographic data of 2034 journal articles published in 2000–2021 from Web of Science (WoS) core collection database and adopted two bibliometric analysis methods, namely historiography and keyword co-occurrence, to identify the evolution trend of construction risk management (CRM) research topics.

CRM has been a key issue in construction management research, producing a big number of publications. This study aims to undertake a review of the global CRM research published from 2000 to 2021 and identify the evolution of the research topics relating to CRM.

This study found that risk analysis methods have shifted from simply ranking risks in terms of their relative importance or significance toward examining the interrelationships among risks, and that the objects of CRM research have shifted from generic construction projects toward specified types of construction projects (e.g. small projects, underground construction projects, green buildings and prefabricated projects). In addition, researchers tend to pay more attention to an individual risk category (e.g. political risk, safety risk and social risk) and integrate CRM into cost, time, quality, safety and environment management functions with the increasing adoption of various information and communication technologies.

This study focused on the journal articles in English in WoS core collection database only, thus excluding the publications in other languages, not indexed by WoS and conference proceedings. In addition, the historiography focused on the top documents in terms of document strength and thus ignored the role of the documents whose strengths were a little lower than the threshold.

This review study is more inclusive than any prior reviews on CRM and overcomes the drawbacks of mere reliance on either bibliometric analysis results or subjective opinions. Revealing the evolution process of the CRM knowledge domain, this study provides an in-depth understanding of the CRM research and benefits industry practitioners and researchers.

This paper aims to examine how customer participation in new service development (NSD) and customer relationship management (CRM) technology can improve the NSD performance of manufacturing firms. Additionally, the paper examines CRM technology usage to understand how it impacts new service performance both individually and jointly with customer participation in NSD.

This study is a survey of 216 manufacturing managers who are overseeing the development of new services at their organizations. For the analysis, structural equation modeling is used with Amos 22.0. Measures of all latent variables in the analysis pass the traditional tests for reliability, convergent validity and discriminant validity. Furthermore, the results of a common latent factor test for common method variance and Harman’s one-factor test indicate that common method bias is not a source of endogeneity in the model.

Customer participation has a positive effect on NSD performance. CRM technology usage also has a positive effect on NSD performance. The effect of customer participation on NSD performance is enhanced by CRM technology. The results of a post hoc analysis suggest that the usage of CRM technology has the most benefit for managing the technical aspects of customer participation.

This study has methodological limitations that may impact the generalizability of results. For instance, it is based on cross-sectional self-reported survey data, which is more subjective than longitudinal secondary data. Survey research lacks the depth and nuance of qualitative research designs, which are commonly employed to study NSD. In addition, this study focuses on large US manufacturing firms. The authors do not include small firms or international organizations in the sample. Despite these limitations, they believe the findings can provide significant contributions to the NSD literature.

Although prior research has shown that customer participation and CRM technology can individually influence new product development (NPD) performance, the results indicate they are equally effective factors in the development of new services. Furthermore, the authors show that customer participation can be enhanced via the use of CRM technologies. The interaction is more pronounced within the technical aspects of NSD.

This study contributes to the NSD literature, and it also has implications for managers leading NSD efforts in traditional tangible-product industries. The findings provide additional evidence that customer participation is an effective NSD strategy for manufacturing firms (Morgan et al., 2019). Furthermore, CRM technology is integral to NSD performance. CRM technology not only has a direct effect on NSD performance, but the interaction term of customer participation by CRM technology also has a positive effect on NSD performance.

The purpose of this study is to examine the impact of customer relationship management (CRM) components on competitive advantage through customer loyalty in the banking sector of Bangladesh.

A structured questionnaire was used for the data collection process. In all, 326 respondents were participated in the survey and selected conveniently from the commercial banks of Bangladesh. Data were analyzed by using Smart-PLS software.

The outcomes of this study indicate that customer orientation and technology capability have a positive impact on competitive advantage, while customer knowledge does not. Besides, customer loyalty significantly mediates the relationship between customer orientation and technology capability with competitive advantage, while this mediation effect appears insignificant between customer knowledge and competitive advantage.

This study's findings can help Bangladeshi bank managers communicate with new customers about their promotional activities while keeping old customers informed about new CRM initiatives.

This study adds to the existing pool of knowledge on CRM components, customer loyalty and competitive advantage literature. Particularly, the mediating role of customer loyalty between the CRM components (customer orientation and technology capability) and competitive advantage is the unique contribution of this research.

This study examines the influence of consumer skepticism on cause-related marketing (CRM) campaign participation intentions of Generation Z consumers from emerging market perspective. This study was undertaken due to the paucity of relevant literature in the public domain to directly investigate whether and how consumers' skepticism affects CRM participation intentions, specifically in the luxury retailing context.

A survey was conducted among 552 Generation Z consumers and path analysis was used to examine the direct and indirect effects of skepticism. The mediation and moderation analysis was used to explore and test the authors' hypotheses via partial least squares structural equation modeling (PLS SEM).

The authors' findings provide empirical evidence that corporate social responsibility, religiosity and cause involvement positively affects consumer participation intentions, and this link is also established indirectly through skepticism toward the CRM campaign. These findings provide novel theoretical contributions by establishing skepticism's complex role in determining the CRM participation intention in the Generation Z consumers' context. This study further demonstrates the moderating effect of gender and luxury store format on consumer skepticism and CRM participation intentions.

The Generation z group will represent a quarter of the Asia–Pacific region's population by 2025. However, little is known about Generation z consumers' CRM participation intentions. This research would help practitioners, including luxury retailers, CRM managers and advertising professionals, to effectively design CRM campaigns. The paper contributes by highlighting the theoretical implications and managerial implications based on the current findings in the emerging market context.

Big data marketing analytics (BDMA) has been discovered to be a key contributing factor to developing necessary marketing capabilities. This research aims to investigate the impact of the technology and information quality of BDMA on the critical marketing capabilities by differentiating between firms with low and high perceived market performance.

The responses were collected from marketing professionals familiar with BDMA in North America (N = 236). The analysis was done with partial least squares-structural equation modelling (PLS-SEM).

The results indicated positive and significant relationships between the information and technology quality as exogenous constructs and the endogenous constructs of the marketing capabilities of marketing planning, implementation and customer relationship management (CRM) with mainly moderate effect sizes. Differences in the path coefficients in the structural model were detected between firms with low and high perceived market performance.

This research indicates the critical role of technology and information quality in developing marketing capabilities. The study discovered heterogeneity in the sample population when using the low and high perceived market performance as the source of potential heterogeneity, the presence of which would likely cause a threat to the validity of the results in case heterogeneity is not considered. Thus, this research builds on previous research by considering this issue.

Technology is widely recognised to be revolutionising the accounting profession, allowing accountants to focus on professional skills and technical knowledge that deliver value for organisational success. Despite the known benefits, it is reported that accountants are not fully leveraging the potential value of certain technologies. To understand why, this study aims to draw on the technology adoption model (TAM) and investigates accounting professionals’ perceptions towards technology, and how these may influence adoption at work.

The study gathered online survey data from 585 accounting managers from organisations of varying sizes and in different sectors in Australia and parts of Southeast Asia. Qualitative data were thematically analysed, and quantitative data were analysed using both descriptive and multivariate techniques.

The study highlighted the pivotal role of staff perceptions on the importance and ease of using technology on the uptake and successful usage. Findings emphasised important opportunities for organisations to educate accounting staff on the value of technology and optimise their confidence and skills through training and support initiatives, particularly smaller businesses. Marked differences in the orientation towards technology among Australian and Southeast Asian participants illuminate how national work culture and practice can influence technology adoption.

The study makes a practical contribution by advancing the understanding of the relative importance and value of certain technologies in different regions and organisation types in the accounting profession. It extends the theoretical understanding of the role of TAM’s core elements to the accounting context, exploring staff’s notions of perceived usefulness and perceived ease of use from the manager’s perspective.

This research proposes how Design for Six Sigma (DFSS) provides a complementary approach for business process management (BPM) lifecycle implementation in order to address gaps identified in the current literature.

The mandatory elements of a method (MEM) framework is used to illustrate DFSS's maturity as a process redesign method. The use of DFSS in a BPM context is described through several action research case examples.

This research specifies the procedure model (order of development activities), techniques, results, roles and information/meta model (conceptual data model of results) associated with using DFSS to address BPM-related challenges. The action research case examples provided discuss the details of implementing BPM using DFSS to design, implement and test redesigned processes to ensure they fulfill the needs of process participants.

While the case examples discussed were performed in only a few settings, which limits the generalizability of their results, they provide evidence regarding the wide range of domains in which the proposed DFSS-BPM approach can be applied and how the tools are used in different contexts.

This research offers a road map for addressing the challenges practitioners often face with BPM lifecycle implementation.

This research provides the first attempt to integrate DFSS as a complementary method for BPM lifecycle implementation.