Towards a co-creation framework in the retail banking services industry: a cross-cultural analysis

An underlying theme in modern marketing is the notion that value is not solely created within the boundaries of the firm, it is created co-jointly with outside parties. This paper aims to study the outcomes of co-creation from a customer perspective. Specifically, it examines the effects of co-creation on customer satisfaction, loyalty and word-of-mouth (WOM) within the banking services industry. Furthermore, we consider potential differences between consumers from Spain and the UK, thus incorporating cross-cultural aspects in our research. The research demonstrates that firms should not only respond to the differences that exist within different cultural contexts and incorporate these in co-creation initiatives; more importantly, firms should undertake co-creation activities themselves as these can result in customers who are more satisfied, loyal to the company and more likely to carry out positive WOM, which can ultimately lead to new customers

How We Can Apply AI, and Deep Learning to our HR Functional Transformation and Core Talent Processes?

[Excerpt] While organizations agree with the importance of AI, only 31% are ready to embrace or have already applied it to their HR process. There are varying levels of acceptance for AI across the HR function. Top areas of implementation are: recruiting and hiring (49%), HR strategy and employee management decisions (31%), analysis of workplace policies (24%), and automation of tasks previously performed by humans (22%)

An Analysis of Service Ontologies

Services are increasingly shaping the world’s economic activity. Service provision and consumption have been profiting from advances in ICT, but the decentralization and heterogeneity of the involved service entities still pose engineering challenges. One of these challenges is to achieve semantic interoperability among these autonomous entities. Semantic web technology aims at addressing this challenge on a large scale, and has matured over the last years. This is evident from the various efforts reported in the literature in which service knowledge is represented in terms of ontologies developed either in individual research projects or in standardization bodies. This paper aims at analyzing the most relevant service ontologies available today for their suitability to cope with the service semantic interoperability challenge. We take the vision of the Internet of Services (IoS) as our motivation to identify the requirements for service ontologies. We adopt a formal approach to ontology design and evaluation in our analysis. We start by defining informal competency questions derived from a motivating scenario, and we identify relevant concepts and properties in service ontologies that match the formal ontological representation of these questions. We analyze the service ontologies with our concepts and questions, so that each ontology is positioned and evaluated according to its utility. The gaps we identify as the result of our analysis provide an indication of open challenges and future work

Improving customer churn prediction by data augmentation using pictorial stimulus-choice data

The purpose of this paper is to determine the added value of pictorial stimulus-choice data in customer churn prediction. Using Random Forests and 5 times 2 fold cross-validation, this study analyzes how much pictorial stimulus choice data and survey data increase the AUC of a churn model over and above administrative, operational and complaints data. The finding is that pictorial-stimulus choice data significantly increases AUC of models with administrative and operational data. The practical implication of this finding is that companies should start considering mining pictorial data from social media sites (e.g. Pinterest), in order to augment their internal customer database. This study is original in that it is the first that assesses the added value of pictorial stimulus-choice data in predictive models. This is important because more and more social media websites are focusing on pictures

The role of trust in e-government adoption: A systematic literature review

Electronic government (e-government) is a concept that has been adopted in most countries for the purposes of providing government services digitally, improving transparency between government and citizens and enabling additional communication channels with the government. Although e-government readiness in most countries is at a high level, adoption of e-government services is still considered tentative. A critical review of the literature suggests that this may be linked to citizens’ trust in government and e-government. As such, there is a need to investigate the role of trust in e-government adoption. For this purpose, a systematic literature review was conducted in order to observe research design, methodologies and approaches adopted in these studies as well as limitations identified and recommendation for future studies. The findings highlight that quantitative techniques and survey research methods appear to have been much preferred over other available alternatives such as qualitative techniques and interview methods or mixed methods in studies relating to trust in e-government adoption

Psychological Contracts, OCB and Customer Service: An Exploratory Examination

This paper examines the relationships among the psychological contract, fairness, OCB, and customer service. We report on two exploratory studies that provide insight into psychological contract violations and subsequent perceptions of fairness, as well as OCB activity. A linkage is made between psychological contracts and behavior directed internally and those directed externally (i.e., customer service). We extend the current theory to suggest implications for effectively managing customer service employee OCB. Finally, suggestions are made for both practice and future research to be conducted in a multidisciplinary design

Towards Design Principles for Data-Driven Decision Making: An Action Design Research Project in the Maritime Industry

Data-driven decision making (DDD) refers to organizational decision-making practices that emphasize the use of data and statistical analysis instead of relying on human judgment only. Various empirical studies provide evidence for the value of DDD, both on individual decision maker level and the organizational level. Yet, the path from data to value is not always an easy one and various organizational and psychological factors mediate and moderate the translation of data-driven insights into better decisions and, subsequently, effective business actions. The current body of academic literature on DDD lacks prescriptive knowledge on how to successfully employ DDD in complex organizational settings. Against this background, this paper reports on an action design research study aimed at designing and implementing IT artifacts for DDD at one of the largest ship engine manufacturers in the world. Our main contribution is a set of design principles highlighting, besides decision quality, the importance of model comprehensibility, domain knowledge, and actionability of results

Exploring the Behavior of Highly Effective CIOs Using Video Analysis

Although recently several studies have addressed the required skills of effective CIOs, little is known of the actual behavior successful CIOs. In this study, we explore the behavior of highly effective CIOs by video-recording CIOs at work. The two CIOs videotaped were nominated as CIO of the year. We analyze the data in an innovative and systematic way by developing and using a behavioral leadership coding scheme. The analysis indicates that highly effective CIOs are good listeners. They also often verify previously made agreements; structure the conversation; and provide subordinates with factual information. We also compare the behavior of the highly effective CIOs to a sample of 25 highly effective middle managers. Whereas the CIOs spend little time defending themselves against their subordinates and are mostly involved in steering, middle-managers spend much more time defending themselves and show more support for their subordinates. We conclude that our new video observation-and-coding method is viable to analyze and better understand the behavior of CIOs

Measuring internet activity: a (selective) review of methods and metrics

Two Decades after the birth of the World Wide Web, more than two billion people around the world are Internet users. The digital landscape is littered with hints that the affordances of digital communications are being leveraged to transform life in profound and important ways. The reach and influence of digitally mediated activity grow by the day and touch upon all aspects of life, from health, education, and commerce to religion and governance. This trend demands that we seek answers to the biggest questions about how digitally mediated communication changes society and the role of different policies in helping or hindering the beneficial aspects of these changes. Yet despite the profusion of data the digital age has brought upon us—we now have access to a flood of information about the movements, relationships, purchasing decisions, interests, and intimate thoughts of people around the world—the distance between the great questions of the digital age and our understanding of the impact of digital communications on society remains large. A number of ongoing policy questions have emerged that beg for better empirical data and analyses upon which to base wider and more insightful perspectives on the mechanics of social, economic, and political life online. This paper seeks to describe the conceptual and practical impediments to measuring and understanding digital activity and highlights a sample of the many efforts to fill the gap between our incomplete understanding of digital life and the formidable policy questions related to developing a vibrant and healthy Internet that serves the public interest and contributes to human wellbeing. Our primary focus is on efforts to measure Internet activity, as we believe obtaining robust, accurate data is a necessary and valuable first step that will lead us closer to answering the vitally important questions of the digital realm. Even this step is challenging: the Internet is difficult to measure and monitor, and there is no simple aggregate measure of Internet activity—no GDP, no HDI. In the following section we present a framework for assessing efforts to document digital activity. The next three sections offer a summary and description of many of the ongoing projects that document digital activity, with two final sections devoted to discussion and conclusions