Search results

This commentary argues that social marketing and the application of behavioural sciences to policy constitute two converging paths towards better policies. It highlights points of convergence and divergence between both disciplines and the potential benefits of further embedding social marketing principles and methods within the recent trend of applying behavioural sciences to policy.

The commentary relies on a review of the behavioural sciences and social marketing literatures and on an analysis of institutional reports reviewing cases of behaviourally informed policies.

Behavioural sciences are increasingly informing policies to promote societal well-being. Social marketing has seldom been explicitly considered as being part of this phenomenon, although it is de facto. Both disciplines share similar end-goals, inform similar policy applications and are rooted in behavioural analysis. They diverge in their theoretical frameworks, their relative emphasis on behaviour change and the span of interventions they generate. Several benefits of embedding social marketing principles and methods within the current way of applying behavioural sciences to policy are identified.

Scholars applying behavioural sciences to policy are encouraged, when appropriate, to use the insights and methods from social marketing. Social marketing can engage in a dialogue with behavioural sciences to explore how to pilot the convergence of both approaches in practice.

The novelty of this contribution lies in providing the first comparison of the application of behavioural sciences to policy with social marketing, and in using the policy-making cycle framework to map the contributions and complementarities of both disciplines.

The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars.

This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed.

In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems.

This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

Despite the importance of pharmaceutical products in everyday life, particularly after the coronavirus outbreak in early 2020, only a few studies have attempted to analyse consumer behaviour with regard to halal pharmaceutical products. Therefore, this study aims to investigate the factors influencing purchase intention for halal pharmaceutical products among Indonesian Muslims.

This study uses a theory of planned behaviour approach, in which religiosity and knowledge of halal product variables are added to attitude, subjective norms and perceived behavioural control variables. Primary data were collected from 225 Indonesian Muslims in Jakarta, the capital city of Indonesia and analysed using structural equation modelling.

The study found that the intention to purchase halal pharmaceutical products is positively affected by attitude, religiosity, knowledge of halal products and perceived behavioural control. However, the influence of the subjective norm variable was found to be insignificant in this study.

It is possible to improve the empirical model by including more explanatory variables and investigating the mediating effect of the variables. The study could also be scaled up to reach more respondents in different regions and countries. These additional aspects would provide better insights into the behaviour of consumers when considering halal pharmaceutical products.

The findings suggest the importance of designing and implementing appropriate strategies and campaigns to enhance knowledge of halal products, of positive attitudes and of better resources/opportunities to consume halal pharmaceutical products. The industry needs to highlight its products’ halal and tayyib aspects through proper branding and promotion strategies. The government and other stakeholders could also implement education campaigns to increase halal products and halal literacy knowledge. These are ultimately expected to enhance the effectiveness of halal regulations and meet Muslim consumer expectations in the country.

Despite the importance of halal pharmaceutical products, this area has received limited attention in the academic literature. Thus, this study attempts to elaborate on consumer behaviour in this niche area.

A decade after Powell et al.’s (2011) seminal article on behavioral strategy, which called for models to solve real-world problems, the authors revisit the field to ask whether behavioral strategy is coming of age. The purpose of this paper is to explain how behavioral strategy can and has been used in real-world settings.

This study presents a conceptual review with case study examples of the impact of behavioral strategy on real-world problems.

This study illustrates several examples where behavioral strategy debiasing has been effective. Although no causal claims can be made, with the stark contrast between the negative impact of biased strategies and the positive results emerging from debiasing techniques, this study argues that there is evidence of the benefits of a behavioral strategy mindset, and that this should be the mindset of a responsible strategic leader.

This study presents a demonstration of analytical, debate and organizational debiasing techniques and how they are being used in real-world settings, specifically military intelligence, Mergers and acquisitions deal-making, resource allocation and capital projects.

Behavioral strategy has broad application in private and public sectors. It has proven practical value in various settings, for example, the application of reference class forecasting in large infrastructure projects.

A conceptual review of behavioral strategy in the wild.

Determining the impact of behavioral influences on the stock market has significant implications for investment analysis and portfolio management. Behavioral biases are parameters that need to be considered in investment decision-making. The purpose of this study is to inform Bangladeshi investors about behavioral biases that they may encounter when making investment decisions in the prevailing frontier environment.

Through the chi-square test, one-way ANOVA, paired-samples t-test and descriptive analysis based on the facts collected from 281 respondents of the Dhaka Stock Exchange (DSE), the study has found that individual investors of Bangladesh often make investment decisions emotionally rather than based on theories.

The result shows that risk aversion and risk perception are the two most influential emotional dimensions that impact investors' decisions. The findings are consistent with the other researchers and highlight the fact that investors hardly act according to the norms recommended in the financial theories.

The findings are grounded on a small portion of investors at DSE on some particular days, which is not sufficient to study individual investors' entire complex decision-making behavior from various angles. Many respondents were reluctant and even confused to disclose their behavioral aspects. These, along with biased and careless answers, may impede the identification of the actual scenario of the behavioral responses in decision-making that demand further study.

The novelty of this study is unique in that it examined investors of the DSE, who are considered to be a representative in a frontier market like Bangladesh. Since this market is not very resilient, small investors need to be aware of the biases of behavioral factors to survive.

The present study aimed to examine the relationship between information and communication technologies (ICT) diffusion, financial development and economic growth in the panel of developing countries for 2005–2019.

The study employed the principal component analysis (PCA) to extract the index of ICT diffusion. First-generation panel unit root tests such as Levine Lin Chu (LLC), Im Pesaran Shin (IPS), Augmented Dickey-Fuller (ADF) and Phillips and Perron (PP) were employed to check the stationarity of the variables. Pedroni and Kao co-integration techniques were used to examine the existence of the long-run relationship, and co-integration coefficients were estimated using FMOLS and dynamic ordinary least squares (DOLS). The panel Granger causality approach examined the short-run and long-run causality.

The results confirmed that ICT diffusion, financial development and trade openness accelerate growth, whereas inflation dampens economic growth. Further, the causality test showed bidirectional causality between ICT growth and financial development growth but a unidirectional causality from financial development to ICT diffusion in developing countries.

The study recommends synchronizing public and private sector investment for a synergistic effect on ICT infrastructure and adequate investment in the financial sector to increase the growth rate in developing countries. Economic policies should be adopted toward incentives and subsidies to ensure affordable ICT services for disadvantaged communities. Also, training programs focussing on enhancing digital literacy to enable all segments of the population to use digital platforms for financial services are recommended.

The purpose of this study is to identify arrangements of fully funded defined contribution (FF-DC) pension plans associated with the continuity of retirement savings.

The authors adopted an experimental design composed of a control group and two treatment groups. In all groups, individuals made decisions throughout nine periods: five during the working period and four at the postretirement stage. The authors asked participants if they wanted to join a pension plan, and which plan. The authors offered three plans with different risk profiles: plan 1 (high risk), plan 2 (moderate) and plan 3 (low risk) and one risk-free plan, plan 4. In treatment groups 1 and 2, there was an automatic enrollment of the participants in the default plan (moderate risk), and in the following periods they had to decide whether to continue contributing, and in this case, to which plan, with a defined percentage.

In treatment scenarios, participants chose the riskiest plan in all periods of the experiment, and most of them chose the risk-free plan in period 5. These findings suggest that pension plans with automatic enrollment, employer matching and low risk foster the continuation of retirement savings.

The research has as limitation the fact that the sample is not representative of the population and therefore does not allow generalizations. This is because the authors use social media ads to prospect respondents.

The research's findings can be relevant for the design of public policies for private pension plans, suggesting that compulsory automatic enrollment can be used as default in plans offered by the employers. The results encourage the inclusion of behavioral elements in the design of the pension system, paying attention to the nudges. In this sense, it is possible to increase participation in the pension plan and develop low cost programs to increase the amount accumulated by people before retirement.

Decision-making architecture, such as automatic enrollment, can improve individuals' retirement decisions, affecting savings and welfare in the long run.

Although the effect of pension plan designs is widely studied in other countries, such as the United States and United Kingdom, the authors are unaware of a national empirical research that seeks to understand how different arrangements affect an individual choice through an experiment.

The paper aims to examine whether financial advisors can understand the symbols and meaning that investors associate with money and whether such ability plays any role in enhancing the advisor-investor relationship in terms of satisfaction, level of trust, referral propensity and loyalty.

The authors used a dyadic research design. A total of 186 dyads of financial advisors and their clients took part in the study and completed two parallel self-administered questionnaires.

The authors found that financial advisors often can detect the emotional associations that their clients attribute to money. Such ability can enhance their relationship with investors.

The main limitation of this study is its exploratory nature and the convenience sampling technique that was adopted. Therefore, researchers are encouraged to test the main findings further.

The results have implications for the development of ad-hoc psychological training to enhance the relationship between financial advisors and investors. Understanding the symbolic meanings and the emotions that clients associate with money may be a prerequisite for a financial services company to succeed and be competitive in the sector.

Despite acknowledging that money is not a neutral object but is layered with symbolic meanings and emotional associations, the behavioral finance literature has so far neglected to study these implications from either a theoretical or a practical point of view. This paper aims to fill this gap by investigating the symbolic value of money in the financial services industry.

Advance the state-of-the-art on how frugal innovation links to sustainability outcomes and based on content analysis of empirical publications in the field of frugal innovation, analyzing when and how FI is connected with social, environmental and economic outcomes.

Quantitative content analysis on empirical papers published on frugal innovation, using data visualization techniques to disclose relationships among the constructs adopted. Materials were collected following a step-wise methodology. In total, 130 articles were identified, read in depth and coded according to five main categories: context; development; implementation, adoption, diffusion; characteristics; and impacts.

The potential of frugal innovation to drive sustainability outcomes is influenced by the type of actors developing the innovation, regarding their organizational form (large firms, small firms, non-firm actors), their geographical origin (foreign or local) or motivations (mostly profit-motivated or socially-oriented). Collaboration plays a key role along the various stages of the frugal innovation cycle and is thus relevant for its potential to drive sustainability outcomes. The results reaffirm the need for greater attention to where and when sustainability-enhancing outcomes of frugal innovation are more likely to occur.

This study provides a qualitative study based on content analysis of empirical studies to explore the associations between frugal innovations and improved economic, environmental and social sustainability outcomes. The key novelty of this study lies in the systematic coding of each paper regarding the features of the innovation, the innovators, and the outcomes achieved. This allows taking stock of the evidence emerging in such a scattered literature, quantifying the extent to which insights take place in the empirical literature, looking for correlations, and highlight research gaps to understand to what extent frugal innovation can contribute to sustainable development.

This chapter establishes the conceptual and analytic framework for the book. It relates not only to much of the existing work in evolutionary and institutional economics, but also to work in cultural science and cultural semiotics domains as well as in media convergence and transmedia studies. The central concept it first deploys is ‘innovation systems’ as applied in national, regional, international and sectoral contexts. It then builds on the general theory of economic evolution by Kurt Dopfer and Jason Potts and reviews the tools this theory provides to carry out a meso-level analysis of industries co-innovating and converging. It then proposes a new concept – ‘cross-innovation’ – to refer to the emergence of new structures and ‘rules’ at the boundaries of existing industries.