Does the Customers' Use of Mobile Technologies Influence the Number of Both Recruitments and the Branches in the Banking Sector in Tunisia?

Digital determines new practices of companies and customers while touching all sectors of activity. Adaptation to the digital is imperative for banks. In this framework, this chapter explores the question of the influence of the use of mobile technologies by the customers on recruitment in the banking sector and on the number of the branch banking networks. Particularly, the authors seek to answer the following question: What are the effects of the use of mobile technologies by customers on recruitments and the number of branches in the banking sector in Tunisia? In order to answer this question, they analyze the annual reports of the last seven years published by Tunisia's Professional Association of Banks and Financial Institutions. Contrary to the findings observed in foreign countries concerning the reduction of the number of branches and recruitments following the digital transformation in the banking sector, in Tunisia the number of branches and recruitments has not stopped increasing.

Digitalization and Growth of Small Businesses

On November 8, 2016, Government of India declared demonetization of all Rs. 500/- and Rs.1000/- currency notes towards a cashless society and create a digital India. The point of sale (PoS) and prepaid instruments are the most popular systems currently installed by merchants and service providers for receiving payments from customers. The primary focus of the study is to understand the adaptability, affordability, acceptability, and sustainability of the payments system as seen from the point of view of small merchants. A total of 221 responses were collected in Chennai. Results show that cash remains the most preferred mode for business. It is required for the working capital, payment of employee remuneration, wages, and others. With regards to the use of payment systems such as POS and prepaid instruments, awareness needs to be created of the benefits in having non-cash transactions. Improving credit worthiness and eligibility to receive loans from banks is one such benefit which would convince the merchants. However, too many systems could confuse the merchants and customers.

Big Data Analytics Driven Supply Chain Transformation

Big data has emerged as the new frontier in supply chain management; however, few firms know how to embrace big data and capitalize on its value. The non-stop production of massive amounts of data on various digital platforms has prompted academics and practitioners to focus on the data economy. Companies must rethink how to harness big data and take full advantage of its possibilities. Big data analytics can help them in giving valuable insights. This chapter provides an overview of big data analytics use in the supply chain field and underlines its potential role in the supply chain transformation. The results show that big data analytics techniques can be categorized into three types: descriptive, predictive, and prescriptive. These techniques influence supply chain processes and create business value. This study sets out future research directions.

Results-Oriented Influencer Marketing Manual for the Tourism Industry

This chapter aims to provide a better tool for implementing the marketing technique known as influencer marketing in the tourism industry. To do so, a results-oriented influencer marketing manual for the tourism industry has been created. Despite the success of influencer marketing, the few previous studies in this field do not include verified measures to ensure its effectiveness. For this reason, the approach that is presented here could be crucial to support these marketing activities. As this topic is new and often little-understood, the data compiled was based on the case study methodology. This chapter proposes the following phases: (1) campaign planning, (2) search for influencers, (3) evaluating the best profiles, (4) contacting influencers, (5) proposing a project, (6) execution, and (7) analyzing the results. This work could help companies considering influencers as a new communication channel to successfully run their campaigns.

Display Ads Effectiveness

The average web user receives numerous advertising messages while browsing online and the formats of such digital marketing stimuli are constantly increasing in number and degree of intrusiveness. This chapter investigates the effectiveness of different types of display advertising by means of an eye-tracking study combined with a pre- and a post-test questionnaire with the purpose of collecting quantitative and qualitative data concerning ad visibility and interaction. Eye gaze data are particularly revealing when examining visual stimuli and they become more valuable when associated with asking users to recall seeing an advertising message we know they fixated on. Moreover, the study aimed to look into whether banner blindness still applies regardless of the type of display ad used, whether the visual pattern remains F-shaped, the effect of placing ads below the fold, how effective trick banners are, and which types of ads are annoying to users.

Entrepreneurship and Innovation in the Digitalization Era

Digital transformation is not a new phenomenon. Neither is digital entrepreneurship. But during the last decade, these phenomena are taking another dimension with the emergence of new digital-to-disruptive technologies that need to be mastered by individuals, groups, firms, organizations, and governments. Based on key concepts such as digitalization, entrepreneurship, and innovation, this chapter contributes to the literature on digital entrepreneurship and innovation by adopting an ecosystem approach. Then, this chapter provides an overview of the digital entrepreneurship and innovation ecosystem and its main components. Within this new philosophy of digital entrepreneuring, the chapter presents new trendy phenomena as precursors and enablers to boost digital entrepreneurial ventures and certain uncharted territories that need to be explored. At the end, the chapter advances new directions for future research in digital entrepreneurship and innovation. It concludes with the idea of democratization gained for entrepreneurship, innovation, and digitalization in this era.

Mapping Innovation in the Digital Transformation Era

Digital transformation is imperative for gaining and sustaining a firm's competitive advantage. Hence, understanding the dynamics of technology evolution becomes salient for both scholars and practitioners. This chapter aims to provide a complementary perspective to the field of innovation by mapping and visualizing the patterns of digital transformation at the industry level with a particular focus on the role of technology convergence. The authors tracked 20 years of the technology of the U.S. communications industry in order to investigate how digital transformation has shaped the industry technological structure, which are the technological gaps and potential future technology trends. The results show a deep transformation of the industry with many interconnections between technology domains and a high degree of overlap between technology areas.

Toward a Conceptualization of Big Data Value Chain

The generation of digital devices such as web 2.0, smartphones, social media and sensors has led to a growing rate of data creation. The volume of data available today for organizations is big. Data are produced extensively every day in many forms and from many different sources. Accordingly, firms in several industries are increasingly interested in how to leverage on these “big data” to draw valuable insights from the various kinds of data and to create business value. The aim of this chapter is to provide an integrated view of big data management. A conceptualization of big data value chain is proposed as a research model to help firms understand how to cope with challenges, risks and benefits of big data. The suggested big data value chain recognizes the interdependence between processes, from business problem identification and data capture to generation of valuable insights and decision making. This framework could provide some guidance to business executives and IT practitioners who are going to conduct big data projects in the near future.

Study of Intentions to Use Cloud CRM Within Saudi SMEs

This chapter attempts to study the intentions to use cloud-based CRM applications through a combination between a Technology Acceptance Model (TAM) and a Theory of Planned Behavior (TPB). To test the different links identified in the research model, a research questionnaire was prepared and sent to marketing managers within Saudi SMEs in Saudi Arabia. A total of 41 useful questionnaires were collected. The authors opted to the structural equation modeling (SEM) using the Partial Least Squares (PLS) to analyze data. The tests are prepared with XLstat software since it integrates both factor analysis and PLS modules. Among the main statistical analyses, the authors conclude that the TPB-TAM is suitable to study cloud CRM. From a managerial perspective, the authors expect that cloud CRM is perceived with good impression and that this new technology should be implemented strongly and gradually in SMEs to improve the quality of services provided to customers and organizations.

Strategic and Business-IT Alignment Under Digital Transformation

Digital transformation is at a very early stage. Digital transformation has several impacts on business, on organization and process and raises several questions. Over the years, the aims of strategic fit and IT-business alignment have remained constant but the environment in which companies operate has changed significantly becoming more dynamic, very competitive and global. This chapter attempts to analyse how the digital transformation could affect more specifically strategic and IT-business alignment.