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Co-creation fosters customer’s involvement for innovation in products/services and is used as a tool to develop competitive edge for better entrepreneurship. Based on limited evidence, the study aims to examine the factors contributing to the co-creation and the relationship of co-creation with customer satisfaction.

A sample of 384 customers from selected banks in Pakistan was selected. The study adopted quantitative, explanatory and cross-sectional research design. Structural equation modeling is used for analysis.

The results revealed a positive and significant relationship between co-creation with customer satisfaction. Further results revealed that access to information, risk assessment and transparency have a positive relationship with co-creation for innovation. The study is significant for customers and management of banks to understand the implications of co-creation to increase customer satisfaction.

Few banks with a small number of customers were selected for the study.

Managers must consider customer’s access to information, risk assessment and transparency of information as necessary factors for co-creation that foster innovation and entrepreneurial opportunities because co-creation strengthens customer satisfaction.

Adopting the co-creation process brings long-lasting harmony between customers and banks, and customers may consider the banks as being socially responsible by inviting the opinions of their customers.

Model is re-tested in the context of Pakistani banks with selected variables affecting co-creation for innovation. Moreover, the relationship of co-creation with customer satisfaction is examined.

The purpose of this article was to provide an outline of the citation practices of “Evolving to a new dominant logic for marketing” by Vargo and Lusch (2004) to identify and discuss the most prominent research topics in which citations were used and to suggest future research based on the results of the analysis.

The authors used a comprehensive framework of citation practices based on iterations of previous literature to analyze the relevant literature, which they identified by accessing, systematically and rigorously, every available contribution matching a set of criteria. The authors then categorized these contributions and highlighted the main topics of research interest in each category.

The findings identify some of the factors in the continuous development of SDL, the way this new marketing logic permeated the scientific debate, the infusion of Vargo and Lusch (2004) into several contributions framed in the new logic or justified through it, and a general perception of a default reference. Additionally, the findings highlight the main topics of research interest in each category.

The analysis enabled the detection of the original paper's influence through advances in service studies, pollination into other fields of research and continuous scientific debate. The authors have highlighted several avenues for research and proposed future research directions.

This research analyzed the effects of the spread of the SDL cornerstone article and emphasized the advantage of using an in-depth approach to the analysis of studies through a framework applied to more than 4,600 studies.

The purpose of this paper is to identify and analyze the literature related to accounting and auditing services quality.

The authors performed a systematic literature review that considered 22 papers on the topic. The authors also applied a bibliometric analysis in order to identify the main characteristics of these studies to discuss and provide research opportunities in this field.

The bibliometric results indicate that most papers were published in services and marketing journals. The accounting service quality theme has been rarely researched in accounting field. In addition, based on our review, it was possible to identify that most papers use quantitative methods, such as surveys. The papers' conclusions diverge from each other, demonstrating a still fragmented literature.

Taken together, the paper shows how accounting services quality is relevant and emerging topic that demands future research about accounting professionals' skills, their activities and how their customers perceive quality in an environment of constant change.

The analyses indicate that there are six broad areas for future research on this topic: successes and failures of accounting services providers; the role of “client centricity”; digital accounting services; services quality and accounting education; services quality when considering different types of accounting and auditing services and development of a measurement scale and a theoretical model for accounting services quality. This paper contributes for the ongoing debate about how competition, technology and innovation are changing the landscape for accounting and auditing services providers.

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

A total of 1,022 individuals took part in the survey; participants were asked to fill out the ten item personality measure questionnaire to capture personality traits and the dysfunctional attitude scale (DAS) to measure dysfunctional beliefs and cognitive vulnerabilities. ML classification models using participant profiling information as input were developed to predict the extent to which an individual was influenced by statements that contained different linguistic styles/persuasion techniques. Several ML algorithms were used including support vector machine, LightGBM and Auto-Sklearn to predict the effect of each technique given each individual’s profile (personality, belief system and demographic data).

The findings highlight the importance of incorporating emotion-based variables as model input in predicting the influence of textual statements with embedded persuasion techniques. Across all investigated models, the influence effect could be predicted with an accuracy ranging 53%–70%, indicating the importance of testing multiple ML algorithms in the development of a persuasive communication (PC) system. The classification ability of models was highest when predicting the response to statements using rhetorical devices and flattery persuasion techniques. Contrastingly, techniques such as authority or social proof were less predictable. Adding DAS scale features improved model performance, suggesting they may be important in modelling persuasion.

In this study, the survey was limited to English-speaking countries and largely Western society values. More work is needed to ascertain the efficacy of models for other populations, cultures and languages. Most PC efforts are targeted at groups such as users, clients, shoppers and voters with this study in the communication context of education – further research is required to explore the capability of predictive ML models in other contexts. Finally, long self-reported psychological questionnaires may not be suitable for real-world deployment and could be subject to bias, thus a simpler method needs to be devised to gather user profile data such as using a subset of the most predictive features.

The findings of this study indicate that leveraging richer profiling data in conjunction with ML approaches may assist in the development of enhanced persuasive systems. There are many applications such as online apps, digital advertising, recommendation systems, chatbots and e-commerce platforms which can benefit from integrating persuasion communication systems that tailor messaging to the individual – potentially translating into higher economic returns.

This study integrates sets of features that have heretofore not been used together in developing ML-based predictive models of PC. DAS scale data, which relate to dysfunctional beliefs and cognitive vulnerabilities, were assessed for their importance in identifying effective persuasion techniques. Additionally, the work compares a range of persuasion techniques that thus far have only been studied separately. This study also demonstrates the application of various ML methods in predicting the influence of linguistic styles/persuasion techniques within textual statements and show that a robust methodology comparing a range of ML algorithms is important in the discovery of a performant model.

The Korean airline industry continues to change in 20-year cycles structurally. The major changes are in their market through deregulation and liberalization resulting in adding more carriers, especially low-cost carriers (LCCs) from 2006. The authors categorize three types of LCCs in Korea: (1) independent LCCs, (2) LCCs subsidized by existing airlines as airlines-within-airlines (AwAs), and (3) LCCs supported by conglomerates and local governments. Independent LCCs have suffered financially during the research period from 2009 to 2013, especially from the impaired capital, even though these LCCs are growing rapidly and expanding their markets in domestic and international routes. AwAs’ efficiency is higher than that of independent LCCs, the roles in the market are limited because of cannibalization by their mother company.

The role of dialogue has recently been identified as being important in generating impact in organisations, but the purposeful use of narrative or story-based approaches to effect organisational change and service improvement is still relatively innovative. The purpose of this paper is to document and examine two projects in health and social care settings which aim to generate organisational development and service improvement.

The paper evaluates and compares two case studies of story-based organisational development and service improvement projects in the UK. This involved developing an appropriate evaluation framework and assessing the impacts in each case using semi-structured interviews and thematic content analysis.

This paper reports the diversity of impacts and outcomes that were generated by the projects. Specifically, it is argued that there is a strong indication that story-based projects best achieve their objectives when clearly linked to key organisational strategic drivers or pathways, as evidenced by robust evaluation.

This paper recommends that researchers and practitioners, working with story-based methods, design credible and robust evaluative practices, in order to evidence how their work supports organisations to meet current sector challenges. The paper recommends a flexible evaluation framework for evaluating story-based projects in the workplace.

This paper offers new evidence and insight into the impacts and outcomes of using story-based approaches, and a new evaluation framework for these sorts of projects.

It's hard to envision a system more global and more integrated than research. Many stakeholders affect and are affected by changes in the research ecosystem; the ecosystem differs in significant ways across the globe and between researchers, institutions and fields of study; and there are many questions that exclusive action can't address. There are also broad ecosystem-level questions that need answering. For these reasons alone, global approaches to reform are needed.

The first step in this exploration isn't to start looking for “solutions”, but to develop a better understanding of how our needs and interests overlap. By identifying the broad contours of common ground in this conversation, we can build the guardrails and mileposts for our collaborative efforts and then allow the finer-grained details of community-developed plans more flexibility and guidance to evolve over time.

What are these overlapping interests? First, the people in this community share a common motive – idealism – to make research better able to serve the public good. We also share a common desire to unleash the power of open to improve research and accelerate discovery; we are all willing to fix issues now instead of waiting for market forces or government intervention to do this for us; and we want to ensure that everyone everywhere has equitable access to knowledge.

There is also very broad agreement in this community about which specific problems in scholarly communication need to be fixed and why, and well as many overlapping beliefs in this community. OSI participants have concluded that four such beliefs best define our common ground: (1) research and society will benefit from open done right; (2) successful solutions will require broad collaboration; (3) connected issues need to be addressed, and (4) open isn't a single outcome, but a spectrum.

OSI has been observing and debating the activity in scholarly communication since late 2014 with regard to understanding possible global approaches and solutions for improving the future of open research. While the COVID-19 pandemic has made the importance of open science abundantly clear, the struggle to achieve this goal (not just for science but for all research) has been mired in a lack of clarity and urgency for over 20 years now, mostly stalling on the tension between wanting more openness but lacking realistic solutions for making this happen on a large scale with so many different stakeholders, needs and perspectives involved.

Underlying this tension is a fundamental difference in philosophy: whether the entire scholarly communication marketplace, driven by the needs and desires of researchers, should determine what kind of open it wants and needs; or whether this marketplace should be compelled to adopt open reform measures developed primarily by the scholarly communication system's main billpayers-funders and libraries. There is no widespread difference of opinion in the community whether open is worth pursuing. The debate is mostly over what specific open solutions are best, and at what pace open reforms should occur.

OSI has proposed a plan of action for working together to rebuild the future of scholarly communication on strong, common ground foundation. This plan – which we're referring to as Plan A – calls for joint action on studies, scholarly communication infrastructure improvement, and open outreach/education. Plan A also calls for working together with UNESCO to develop a unified global roadmap for the future of open, and for striving to ensure the community's work in this space is researcher-focused, collaborative, connected (addressing connected issues like peer review), diverse and flexible (no one-size-fits-all solutions), and beneficial to research. UNESCO's goal is to finish its roadmap proposal by early 2022.

For a full discussion of OSI's common ground recommendations, please see the Plan A website at http://plan-a.world.

The purpose of this paper is to investigate the relationship between preferred choice of school subject and student information behaviour (IB).

Mixed methods were employed. In all, 152 students, teachers and librarians participated in interviews or focus groups. In total, 1,375 students, key stage 3 (11-14 years) to postgraduate, responded to a questionnaire. The research population was drawn from eight schools, two further education colleges and three universities. Insights from the literature review and the qualitative research phase led to a hypothesis which was investigated using the questionnaire: that students studying hard subjects are less likely to engage in deep IB than students studying soft subjects.

Results support the hypothesis that preferences for subjects at school affect choice of university degree. The hypothesis that a preference for hard or soft subjects affects IB is supported by results of an analysis in which like or dislike of maths/ICT is correlated with responses to the survey. Interviewees’ comments led to the proposal that academic subjects can be classified according to whether a subject helps students to acquire a “tool of the Mind” or to apply such a tool. A model suggesting how IB may differ depending on whether intellectual tools are being acquired or applied is proposed.

The “inner logic” of certain subjects and their pedagogies appears closely linked to IB. This should be considered when developing teaching programmes.

The findings offer a new perspective on subject classification and its association with IB, and a new model of the association between IB and tool acquisition or application is proposed, incorporating the perspectives of both teacher and student.

Although networked hospitality businesses as Airbnb are a recent phenomenon, a rapid growth has made them a serious competitor for the hospitality industry with important consequences for tourism and for tourist destinations. The purpose of this paper is to analyse the nature of the phenomenon, its potential further development in the next five years and the impact this developments will have on tourism, on hotels and on city destinations.

A literature study, combined with scenario workshops and a Delphi panel, were used to map current trends and uncertainties. With this input, future scenarios were elaborated using the Global Business Network (“scenario cross”) method.

Network platforms as Airbnb are often classified under something called the “Sharing Economy”, a denomination that obscures their true nature. Airbnb is a challenging innovation to which traditional hospitality will have to respond. Its impact has at the same time led to a call for regulatory policies. The definition of these policies and the evolution of tourism are variables that determine future scenarios. Attempts to ban the phenomenon mean a disincentive to innovation and protect oligopolistic markets; more receptive policies may have the desired results if tourism grows moderately but in booming destinations they may lead to a harmful commercialization.

Until now, Airbnb has been described in conceptual studies about the so-called “Sharing economy”, or more recently in empirical studies about isolated effects of holiday rentals. This paper contextualizes the evolution of networked hospitality and seeks to synthesize the sum of its impacts, thus enabling businesses and local governments to define positions and strategies.

The purpose of this paper is to analyze the relationship between entrepreneurial orientation (EO) and organizational performance through an updated and extended meta-analytic review that includes EO, mediators, moderators and performance results.

Using Pearson correlations as effect size statistics, and based on 80 independent samples from 78 studies, with a total sample size of 19,514 cases, the meta-analysis consolidates the empirical findings of this field of research.

The results reveal that there is a direct and positive impact of EO on organizational performance, and this effect is stronger for multi-item measures of performance and for revenue-based performance measures. In addition, the authors found partial mediation effects of learning orientation and innovativeness on the relationship between EO and firm performance.

The work contributes to the literature by demonstrating the importance of EO to organizational performance with a meta-analysis, reporting the partially mediating variables in this relationship and seeking to explain the observed inconsistencies in preceding results, also examining methodological moderating variables. Hence, the research extends previous meta-analytic studies done in the area.