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The enabling technologies that emerged from information technology (IT) have had a considerable influence upon the development of marketing tools, and marketing has become digitalized by adopting these technologies over time. The purpose of this paper is to demonstrate the impacts of these enabling technologies on marketing tools in the past and present and to demonstrate their potential future. Furthermore, it provides guidance about the digital transformation occurring in marketing and the need to align of marketing and IT.

This study demonstrates the impact of enabling technologies on the subsequent marketing tools developed through a content analysis of information systems and marketing conference proceedings. It offers a fresh look at marketing's digital transformation over the last 40 years. Moreover, it initially applies the findings to a general digital transformation model from another field to verify its presence in marketing.

This paper identifies four eras within the digital marketing evolution and reveals insights into a potential fifth era. This chronological structure verifies the impact of IT on marketing tools and accordingly the digital transformation within marketing. IT has made digital marketing tools possible in all four digital transformation levers: automation, customer interaction, connectivity and data.

The sequencing of enabling technologies and subsequent marketing tools demonstrates the need to align marketing and IT to design new marketing tools that can be applied to customer interactions and be used to foster marketing control.

This study is the first to apply the digital transformation levers, namely, automation, customer interaction, connectivity and data, to the marketing discipline and contribute new insights by demonstrating the chronological development of digital transformation in marketing.

This paper aims to focus on the relation between digital transformation and banks’ reputation, as examined through the information disclosed by the five largest Italian banking groups’ efforts to extend and enhance their digital resources. Considering digitalization as a key strategy for managing reputation, which, in turn, can leverage financial and value performance management, the paper investigates whether and how digital activities might affect banks’ reputation. Therefore, this paper proposes the relationship between digitalization and reputation as a lever for performance management and for increasing efficiency.

The authors use content analysis to generate a digital disclosure index, categorizing activities human, structural and relational. For banks’ reputations, the proxies are a measure of corporate reputation and a reputational risk index. Methodologically the study used multiple case studies, considered as particularly suitable to gain an in-depth understanding of the topic in the case of the five banks. A collection of secondary data and semi-structured interviews are included.

Overall, the digitalization-reputation link shows that banks’ reputation is variously affected, not only by exposure to risk (including reputational risk) but also by strategic issues such as digitalization and the effectiveness of the corresponding communication. Consequently, banks should view digitalization as a key driver to be considered not in a stand-alone perspective, but in a combined approach.

Continued research should include the Covid-19 implications. Additionally, it would be important to compare a larger number of banks, with different characteristics, also including variables indicating the corporate governance mechanisms.

The analysis contributes to fostering scholars’ and practitioners’ management of the digital transformation challenge that is a current key-factor, capable of increasing banks’ value. It considers not only the drivers directly affecting monetary value but also the institutions’ social and relational value, as well as their reputation.

This paper extends prior research on the digitalization-reputation relation by investigating digital transformation through disclosure of activities in this area within the Italian banking sector. It allows to leverage the key-factors that can contribute to increasing banks’ value, considering not only the drivers directly affecting monetary value but also the institutions’ social and relational value, as well as their reputation.

Total quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require specific best practices that are different from those related to manufacturing. Moreover, digitization is pervading all kinds of services, but little has been written about total quality service practices in digital-based companies. For this purpose, the authors provide a holistic model of total quality service that reflects the peculiarities of such companies, guided by the question: how do total quality service practices change in digital-based service organizations?

The authors conduct an illustrative case study on Healthware Group, a global integrated digital health organization, to evaluate theoretical assumptions about total quality service practices in the digital environment.

The findings allow to validate the model provided. In addition, the study enables them to observe the changes the authors are witnessing in service provision in the digital era and the consequent transformation of best practices. To be accurate, the authors cannot refer to a full transformation in digital-based companies but rather to the enrichment and extension of TQS practices. The best illustration of these conclusions has been summarized in a set of propositions corresponding to seven of the key levers of a TQS model.

The paper represents the first attempt to discuss the relationship between total quality service and digitalization, offering a set of propositions for academics and insights for practitioners. The model can be used as a tool to visualize the different levers that successful implementation of TQS in digital-based services companies can rely on.

Lean is considered as a major management approach for improving operational productivity and organizational performance. It is a systemic philosophy that emphasizes on fulfilling customer needs, waste minimization, and a commitment to a culture of continual improvement. In recent years, many higher education institutions (HEIs) have leveraged on the use of technology to provide flexibility in learning and just-in-time training for learners in the efforts to improve both the internal processes of course delivery and enhance the provisions of education quality. In recognizing these trends in HEIs, the purpose of this paper is to identify the key factors that facilitate the conversion of printed learning resources to e-learning resources in a HEI.

This study used a qualitative exploratory case study approach and examined a unique case of a HEI that is undergoing the transformation process from printed learning resources to digital sources to simplify the processes involved in educational service delivery and operational complexity. Data sources include semi-structured interviews with key personnel directly involved in the project of converting printed learning resources to digital sources, notes taken from informal discussions, and secondary data such as minutes of meetings, learning resource archives, and relevant literature. A retrospective perspective was adopted in the case analysis since the HEI has already completed 50 percent of the conversion phase when this study was carried out.

Abductive reasoning approach and well-established lean principles were used to make sense of the digital transformation process of the HEI. Based on the retrospective case analysis, the authors found evidence that characterizes lean management principles and identifies the critical factors (CFs) that have facilitated the HEI to achieve the key milestones in the conversion journey. These include common vision, top management support and leadership, timely information sharing, and relationship management with key stakeholders in the transformation processes.

Since this research is an exploratory case study, the results obtained cannot be generalized. Future research can be conducted to provide an impact analysis of the potential risk factors of a system that employs only the use of e-study materials. In addition, future studies can also assess the quality of the learning services that is supported by the e-resources by gathering student feedback on their e-learning experience that is supported by the online digital learning resources and learning management system.

This study provides managerial insights into the levers to engender the transformation from a traditional print learning resources model to leaning with digital e-learning resources. The insights into the CFs aid education managers to introduce process innovations and encourage behavioral changes that will benefit learners, instructors, and administers.

The study is one of the first to apply lean management principles in making sense of the transformation processes involved in the use of digital innovation in higher education context. The findings provide a holistic view of the process transformations.

Digitalization accelerates the need of tourism and hospitality ecosystems to reframe business models in line with a data-driven orientation that can foster value creation and innovation. Since the question of data-driven business models (DDBMs) in hospitality remains underexplored, this paper aims at (1) revealing the key dimensions of the data-driven redefinition of business models in smart hospitality ecosystems and (2) conceptualizing the key drivers underlying the emergence of innovation in these ecosystems.

The empirical research is based on semi-structured interviews collected from a sample of hospitality managers, employed in three different accommodation services, i.e. hotels, bed and breakfast (B&Bs) and guesthouses, to explore data-driven strategies and practices employed on site.

The findings allow to devise a conceptual framework that classifies the enabling dimensions of DDBMs in smart hospitality ecosystems. Here, the centrality of strategy conducive to the development of data-driven innovation is stressed.

The study thus developed a conceptual framework that will serve as a tool to examine the impact of digitalization in other service industries. This study will also be useful for small and medium-sized enterprises (SMEs) managers, who seek to understand the possibilities data-driven management strategies offer in view of stimulating innovation in the managers' companies.

The paper reinterprets value creation practices in business models through the lens of data-driven approaches. In this way, this paper offers a new (conceptual and empirical) perspective to investigate how the hospitality sector at large can use the massive amounts of data available to foster innovation in the sector.

COVID-19 has highlighted the need to reflect on how firms should improve their supply chains (SCs) to enhance agility and robustness. Recent studies focus more on the short-term rather than on the long-term developments and lack insights regarding the enhancement of supply chain resilience (SCRES) based on the interplay between multiple levers. Therefore, using a long-term perspective, this research evaluates the interaction between three SCRES levers – relationships, technologies and organizational structures – to improve SCRES.

Based on an extensive literature review, multiple interviews and workshops, 13 future projections were developed. These projections were assessed using a two-round Delphi study that included 83 international experts from industry, academia and politics/associations to determine the probability of occurrence by 2035, their impact on SCRES and their desirability.

This study provides empirical evidence that the long-term enhancement of SCRES is achieved through the interplay of multiple levers rather than unilateral optimization. The study suggests that, by 2035, collaboration between SC partners will be a key factor for SCRES enhancement. Additionally, SC stakeholders should be aware that failing to invest in digital technologies will negatively impact the agility and robustness of future SCs. Furthermore, humans are expected to continue to play a major role, given that relationship-oriented tasks are perceived to remain important.

This paper adds to current literature, describing how SCRES can be improved in the long term through the interplay of multiple levers and the combination of robust and agile elements. Considering the importance of ensuring resilient SCs, this paper provides valuable insights for academics and practitioners.

The coronavirus disease 2019 (COVID-19) pandemic has taken society, business and industries by surprise leading to a worldwide economic recession, pushing organizations to rethink their business model in order to shift from activity shutdown toward sustainable growth. The purpose of this research is to comprehend the implications and relationship between entrepreneurship, innovation, digitization and digital transformation aspects as the levers to achieve this goal.

Following the existing literature, an empirical approach has been established involving a quantitative analysis of secondary information obtained from official datasets and reports.

The COVID-19 pandemic was found to be an unfortunate accelerator regarding both consumers' habits and organizations' innovation and digital transformation, breaking with the past leading to new sustainable growth business models.

The research provides an underlying outcome that addresses how wealth and economic value could be generated within the framework of new economic models in a post-pandemic environment.

The research highlights how the pandemic has disrupted what was known about sustainable business growth, and how this affects the future of business beyond the pandemic scenario, transforming the way society, businesses and customers interact.

The purpose of this study is to comprehend and determine the impact of the COVID-19 pandemic on business organizations and society, together with its relationship to entrepreneurship, innovation, digitization or digital transformation, by means of analysis of the Spanish Internet domains registration data set.

Following existing literature regarding time series analysis, the authors have designed a SARIMA methodology involving the forecasting of a non-COVID-19 data set from the available data and compared it to the existing COVID-19 data set in order to validate the formulated hypothesis.

The COVID-19 pandemic was found to be an unfortunate accelerator, regarding entrepreneurship and innovation as a digitization and digital transformation lever, with the results of the Internet domain registration analysis as a reliable indicator.

This research confirms the existence of new non-invasive approaches to complementary information, such as Internet domain registration analysis, that could serve as an early and quick indicator of innovation and entrepreneurship initiatives within business activities.

COVID-19 has made businesses increasingly dependent on technology to be competitive and efficient. Small and medium enterprises (SME) digitalisation and innovation research are widespread. SME digital transformation and innovation require government policies, initiatives and assistance. How the government can help SMEs achieve these goals is unclear. So, this paper aims to investigate how government policy may assist Vietnamese SMEs to boost innovation performance and digital transformation.

The study will take a quantitative approach, with questionnaires distributed to 659 respondents from SMEs in Vietnam through snowball and convenience sampling procedures. The structural equational modelling method is used for data analysis.

The study indicated that government policies supported Vietnamese SMEs’ innovation and information technology (IT) capabilities. Government policy assistance also boosted IT capabilities and innovation. Furthermore, mediation effects show that digital transformation fully mediates the relationship between innovativeness and firm performance, whereas IT capabilities partially mediate this relationship.

Further research that replicates the findings and analyses contextual heterogeneities between nations is advised because Vietnam’s pandemic setting was both similar and dissimilar.

The study demonstrated government-company interactions through supportive policy. It investigated whether SMEs seeking digital transformation and innovativeness might gain competitive benefits by implementing effective knowledge management and enhancing their IT capabilities.

A resource-based theoretical framework is extended to study how innovation, public policy and digital transformation for SMEs interact. The study confirms government policy strongly influences enterprises’ digital development. Specifically, the new mediating effects of IT capabilities and digital transformation are explored and provide new insights into the existing literature.

The current scenario is dominated by an urgent need for economic recovery caused by the global health emergency that has been at work since January 2020. Digital transformation plays a crucial role in bringing about this recovery. However, the failure rate of digital transformation projects over the last 10 years is very high. Considering the growing demand for digital transformation from businesses, the digital transformation failure rate, if unchanged, could lead to an exponential growth in technical debt. Technical debt is acquired when the digital transformation to be deployed at a business fails. The accumulation of technical debt will lead not only to economic stalemate but possibly also to yet another setback.

The developed set of methodologies form what has been termed the Digital Transformation Governance Engineering Process (DTGEP). This process can help any business wishing to undertake a digital transformation project to materialize their project in a sustainable, productive and competitive way.

DTGEP prevents the generation of technical debt because organizational knowledge is aligned with the technological solution that best suits the needs of each business in order to support its strategic or business objectives.

DTGEP has already been used to successfully discover the relationship between business features and the prospective digital transformation. However, it needs to be applied in case studies on many other businesses across the economy in order to gather more accurate information that could be clustered by sectors.

DTGEP was tested on a set of 25 projects, and this paper reports several interesting findings regarding its use, like the impact of the digital transformation on different parts of the business model canvas (BMC) and the intellectual capital of the organization developing the digital transformation, and how the status of the organization's intangible assets affects the decision-making process with respect to the prospective digital transformation.