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Digital advertising enables retailers to rely on large volumes of data on consumers and even leverage artificial intelligence (AI) to target consumers online with personalised and context-aware advertisements. One recent example of such advertisements is programmatic advertising (PA), which is facilitated by automatic bidding systems. Given that retailers are expected to increase their use of PA in the future, further insights on the pros and cons of PA are required. This paper aims to enhance the understanding of the implications of PA use for retailers.

A theoretical overview is conducted that compares PA to traditional advertising, with an empirical investigation into consumer attitudes towards PA (an online survey of 189 consumers using an experimental design) and a research agenda.

Consumer attitudes towards PA are positively related to attitudes towards the retailer. Further, perceived ad relevance is positively related to attitudes towards PA, which is moderated by (1) consumer perceptions of risks related to sharing their data with retailers online and (2) consumer perceptions of AI's positive potential. Surprisingly, the disclosed use of AI for PA does not significantly influence consumer attitudes towards PA.

This paper contributes to the literature on technology-enabled services by empirically demonstrating that ad relevance drives consumer attitudes towards PA. This paper further examines two contingencies: risk beliefs related to data (i.e. the source of PA) and perceptions of AI (i.e. the somewhat nebulous technology associated with PA) as beneficial. A research agenda illuminates central topics to guide future research on PA in retailing.

Literature on the relationship between social performance and economic performance of social enterprises has long been inconclusive. This paper aims to investigate whether and, if so, how social performance contributes to economic performance of social enterprises. Specifically, drawing from the resource-based view and signalling theory, the study examines how the development of reputation, which enables social enterprises to signal the enterprises' stakeholders' commitment towards social causes, mediates the relationship between the two.

Employing a quantitative research design, data were collected from a sample of 164 social enterprises in the UK and analysed using structural equation modelling (SEM).

The results illustrate that whilst the direct relationship between social and economic performance is inconclusive, social performance contributes indirectly to improve economic performance through improving social enterprise reputation.

To the best of the authors' knowledge, this study is the first of this kind in the context of social enterprises which sheds light on the long-standing conflicting literature on the relationship between the dual objectives (i.e. social and economic) by providing reputation as the mediating variable.

The paper aims to critically review the increasingly taken-for-granted view of social enterprise (SE) as inherently paradoxical and tackles the research question as follows: are the tensions experienced by SE and social entrepreneurs (SEnt) actually paradoxical and if not, what are the implications for theory and practice?

A paradox theory (PT) approach has been utilized to explore the implications, validity and helpfulness of the paradox perspective in understanding and managing the tensions that are inherent in SE.

Conceptualizing the primary tension of doing social good through commercial activity as a paradox is argued to be a limiting misnomer that conspires to reify and perpetuate the tensions that SE and SEnt have to manage. Drawing upon PT, the findings of the paper reconceptualize these tensions as myths, dilemmas and dialectics, which are subsequently used to develop a more complete ontological framework of the challenges that arise in SE and for SEnt.

Reconceptualizing the “inherent paradoxes” of SE as either dilemmas or dialectics affords a means of pursuing their successful resolution. Consequently, this view alleviates much of the pressure that SE managers and SEnt may feel in needing to pursue commercial goals alongside social goals.

The work presents new theoretical insights to challenge the dominant view of SE as inherently paradoxical.

The Asian banking system has been appreciated with many distinct qualities including consistent in profitability. Many studies have examined the profitability of Asian banking sector from diverse perspectives. However, studies on bank profitability in connection to the capital structure, operating efficiency and non-interest income are only a few. This study investigates the influence of capital structure as estimated by leverage ratio and long-term debt, operating efficiency and non-interest income on the profitability of the banking industry in 28 countries of Asia.

This paper utilizes fixed effect regression model by involving panel data with sample of 492 banks from 28 countries of Asia for the time span of 15 years from 2004 to 2018.

The results confirm that an increase in total debt ratio increases the profit margin of the bank as supported by the agency cost theory, suggesting that the debt financing increases the profitability of the firm. In addition, the findings reveal that lowering the operating expenses and managing of costs effectively can boost the profitability of bank. Furthermore, non-interest income plays a vital role when the interest rates are lower. Hence the study suggests that a careful investment in this sector can generate income as well as increase the profit margin of the banking arena.

The paper examines the profitability of bank by including impact of leverage ratio and long-term debt as a measure of capital structure along with the influence of operational efficiency and non-interest income which contributes to the understanding of the existing literature.

The study of the background to programmatic advertising is of great interest in the context of digital marketing. Therefore, the main aim of this research is to define a structural equation modelling (SEM) model, which allows studying the relationship between the usefulness and privacy of online ads to increase the effectiveness and efficiency of campaigns through the use of computation and big data.

A cross-sectional descriptive study based on the Web Browsers Survey was carried out on a sample of 24,062 Internet users by the Association for Media Research. The partial least squares structural equation modelling method (PLS-SEM) was applied to evaluate the model with the study constructs and test the hypotheses.

The result of this research allows us to know how perceived usefulness (U) and perceived annoyance (A) affect users' privacy concerns (P) and concerns about the storage and use of their data through cookies (C). The authors also seek if there is any relationship between privacy concerns (P) and cookies (C) on users' level of Internet usage (IU).

One of the novelties of this study is the consideration not only of Internet user perceptions but also their concerns about privacy and the use of cookies, as key variables in the strategic management of the use of programmatic advertising in digital marketing.

We use disaggregated survey data set to investigate the impact of personality traits on the level of education in the USA. We attempt to shed light on the contribution of each of the Big Five personality traits on the education decision made by the individuals.

We use the quantile regression analysis in order to investigate to what extent certain aspects of personality may help an individual to invest in education.

Our findings uncover a significant effect of noncognitive skills on the level of education. It is shown that people with high emotional stability and agreeableness invest in human capital, especially when we move to the higher quantiles of the conditional distribution function. Moreover, we argue that the estimated signs of the traits remain stable across the quantiles, while the relevant curvatures indicate for the first time in the empirical literature, the presence of nonlinear effects. Last, our model survived robustness checks under the inclusion of two aggregated higher-order factors, namely “Alpha” and “Beta.”

Although we used several control variables (e.g. Gender, Age) to address the impact of noncognitive skills on education, special attention should be given to the use of additional socioeconomic indicators such as the skin color of participants, the urbanization rate, the level of unemployment, the level of income, parental education among others. These measures affect the causality driven by the inclusion of certain economic and demographic characteristics and minimize the endogeneity bias drawn from the inclusion of the sample variables. One additional limitation is that the survey-based data refer only to people with higher education (>13 years of study). Therefore, our empirical findings must be tested on a richer sample to capture the effect of personality traits on a broad spectrum of educational stages (e.g. early learning years, primary education, secondary education, etc.).

Our empirical findings add enough new insights to the existing literature. First, we attempt to assess the role of noncognitive skills proxied by the Big Five Inventory (hereafter “BFI”) on the education decision made by the individuals. Second, we provide fresh evidence of nonlinear effects between personality traits and education totally ignored by the existing literature. Our third contribution is to analyze the role of personality in enhancing the importance of investment in higher education as a determinant of individual behavior. In this way, we contribute to the growing field of behavioral economics since the study of noncognitive skills offers a range of new ideas and expanding research opportunities for social scientists (economists, psychologists, sociologists, etc.).

The purpose of this paper is to examine the effect of politicians’ facial attractiveness on their online popularity as reflected in audience engagement with their Facebook posts during the 2015 Israeli election campaign.

Using Israel’s 2015 election campaign as the case study, the authors analyzed all messages posted (n=501) on 33 politicians’ official Facebook pages during the week leading to Election Day.

The results demonstrate that audiences do engage more with posts of the more facially attractive politicians. These posts generated more shares, more comments and more participants in their discussions – but not more likes – relative to posts of less attractive politicians. These effects became even stronger when the posts were accompanied by one or more visual image, and remained significant even after controlling for other engagement predictors, such as a politician’s gender, seniority or the timing of a post’s publication.

The findings emphasize the importance of attractive looks for politicians. The findings highlight that attractive politicians’ posts attract more attention, allowing them to better spread their ideas. Thus, politicians should aim to post aesthetic images and visuals to promote better engagement with their ideas on social media.

The study expands our understanding of online presentations of politicians, focusing on the effect of politicians’ facial attractiveness on their online popularity. Recent studies have demonstrated that physically attractive politicians enjoy more and better media attention on television news, but not in non-visual media such as radio and newspapers. This effect has not been examined in the social media environment, a central arena for today’s political debates and one that involves many visual messages.

This study examines the impact of gender on Facebook campaign strategies and the reception of these strategies during the 2018 Israeli municipal elections.

The authors analyzed all the messages posted on 48 politicians' official Facebook pages during the week leading up to the elections. They analyzed messages posted by 152 candidates running for the position of head of a municipality, 68 of whom were women (48 had an active Facebook account), examining the amount of engagement they had created. The authors also analyzed the candidates' use of rhetoric and use of negative campaigning and the engagement it created.

Analysis of the overall engagement of Facebook users in respect to men versus women politicians showed that men politicians' posts were significantly more engaging in terms of the number of likes and shares they generated, although the multilevel analysis found no significant differences between engagement in the posts of men and women politicians. The Aristotelian rhetoric analysis revealed no significant differences between women and men contenders; however, in line with the role incongruity theory, the engagement analysis found that male candidates' logic-based posts attracted significantly more shares. The negative campaigning analysis found that, contrary to the study’s hypothesis, female candidates posted twice as many messages, attacking their opponents as their men counterparts. However, in line with the hypothesis based on the role incongruity theory, these posts gained significantly less engagement than those of their men counterparts.

The study highlights that female candidates do not conform to their perceived gender role as soft, emotional, and gentle in their social media campaigning. However, in line with role incongruity theory, they were not rewarded for this “unwomanly” behavior because they gained significantly less engagement with their logic-based posts and their attacks against other candidates than their men counterparts. Despite the fact that prior studies have indicated the potential of social networks service (SNS) to empower women leaders, the findings of the study highlight the continued gender discrimination and the validity of role incongruity theory during social media campaigning, particularly at the municipal elections level.

The purpose of this paper is to show how decision makers in organizations can emulate the practices of winning organisations and in so doing, improve their own managerial practices. The paper draws on a four‐year empirical study of 11 of Australia's high performing organisations that identified their winning characteristics over a 25 year period. The detailed research outcomes have been published in 2007 in a book titled The First X1: Winning Organisations in Australia and are summarised as a Winning Framework with nine key elements for long‐term success. More recently, the author has been part of a team that has developed a sophisticated web‐based diagnostic survey, the purpose of which is to allow decision makers to benchmark their organisational performance against the best practices identified in the original research.

The research involved designing a series of 90 questions based on the Winning Framework and building an online diagnostic system for gathering and analysing data for benchmarking studies by organisations in a wide range of industry sectors.

Concepts for conducting the survey in medium to large organisations are discussed and some initial results and case studies from trials of the survey instruments are also presented. The most valuable reporting techniques appear to be an organisational wide radar map, performance ranges and averages and detailed analysis from different organisational levels.

Feedback from senior executives indicates that the holistic nature of the survey and the benchmarking process, coupled with the range of alternatives to analyse and display the results, provide unique and valuable insights into those operational and management opportunities that should accelerate their journey towards organisational excellence.