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This paper aims to develop a conceptual framework on how the representativeness heuristic operates in the decision-making process. Specifically, the authors unbundle representativeness into its building blocks: search rule, stopping rule and decision rule. Furthermore, the focus is placed on how individual-level cognitive and behavioral factors, namely experience, intuition and overconfidence, affect the functioning of this heuristic.

From a theoretical standpoint, the authors build on dual-process theories and on the adaptive toolbox view from the “fast and frugal heuristics” perspective to develop an integrative conceptual framework that uncovers the mechanisms underlying the representativeness heuristic.

The authors’ conceptualization suggests that the search rule used in representativeness is based on analogical mapping from previous experience, the stopping rule is the representational stability of the analogs and the decision rule is the choice of the alternative upon which there is a convergence of representations and that exceeds the decision maker's aspiration level. In this framework, intuition may help the decision maker to cross-map potentially competing analogies, while overconfidence affects the search time and costs and alters both the stopping and the decision rule.

The authors develop a conceptual framework on representativeness, as one of the most common, though still poorly investigated, heuristics. The model offers a nuanced perspective that explores the cognitive and behavioral mechanisms that shape the use of representativeness in decision-making. The authors also discuss the theoretical implications of their model and outline future research avenues that may further contribute to enriching their understanding of decision-making processes.

The purpose of this research is to examine the effect of heuristic biases on investment decisions through multiple mediation mechanisms of risk tolerance and financial literacy in the Tanzanian stock market.

A sample of 316 individual investors in the Tanzanian stock market was obtained through questionnaires. The data were analyzed using structural equation modeling (SEM).

The findings show that financial literacy mediates insignificantly the effects of overconfidence, availability, anchoring and representativeness heuristics on investment decisions. Further, financial literacy does not influence the effect of risk tolerance and investment decisions. Risk tolerance is confirmed as a positive mediator of overconfidence, availability, anchoring and representativeness heuristics in investment decisions. Also, the study shows that overconfidence exerts a stronger influence on investment decisions, followed by availability, representativeness, risk tolerance, anchoring and financial literacy.

The study deals with real investors. Therefore, it uses fewer items to measure the constructs in order to avoid respondent bias. Further research could examine the effects of heuristic biases on investment decisions by adding or modifying the items of particular constructs and studying institutional investors.

The findings can help individual investors to analyze and evaluate their behavior toward stock selection. Securities institutions can use this research to understand investors' behavior, evaluate future market trends and provide advice to the investors.

Previous studies have examined the impact of heuristics on the investment decisions of individual investors. The unique empirical analysis developed in this paper is that it examines the multiple mediation mechanisms of risk tolerance and financial literacy with respect to heuristic biases and investment decisions in the Tanzanian stock market.

The purpose of this paper is to test the relationship between the annual income earned by the investors and eight behavioural biases exhibited by the investors such as mental accounting, anchoring, gambler’s fallacy, availability, loss aversion, regret aversion, representativeness and overconfidence.

The relationship is derived based on a questionnaire survey conducted on 436 secondary equity investors residing in Chennai, India.

Analysis of variance test was performed on the normalised and non-normalised version of the biases divided in terms of the annual income earned by the investor. The test found that for the significant biases except the overconfidence bias, the investors with higher annual income were less prone to the biases when compared to investors with lower annual income. On the other hand, with respect to the overconfidence bias, the investors with higher annual income were prone to exhibit overconfidence bias when compared to the investors with lower annual income. Correlation analysis showed that the investors with high annual income were more likely to exhibit higher overconfidence bias but lower representativeness, loss aversion, availability and mental accounting biases.

A contribution in the financial and economic front which would benefit the financial advisors to now consider the income earned by the clients as an important factor while giving financial advice to the clients and while guiding them about the biases they are prone to exhibit.

The purpose of this paper is to investigate, firstly, to what extent has Nepal’s bureaucracy become representative in terms of reflecting the country’s demographic composition, and secondly, has the bureaucracy become more responsive to citizens since the implementation of a quota policy in 2007.

This paper relies on factual and perceptual data in analysis. In order to analyze and interpret representative bureaucracy, this paper adopts factual data derived from the secondary sources, especially data generated by the Government of Nepal. Second, the perceptual set of data was collected through two rounds (2008, 2014) of a country-representative survey in Nepal.

The findings suggest that in terms of representativeness, the bureaucracy is still dominated by high-caste Hindus, while other ethnic communities, except the Newars, are utterly under-represented. Surprisingly, Dalits are represented in higher posts as per their percentage in the population, but they are still underrepresented in the civil service in general. Women’s representation has also increased through participation in the civil service, but they still mostly hold junior or non-gazetted posts. Citizens’ evaluations regarding responsiveness and processes of service provision are also mixed.

This paper is a unique attempt to understand the aspects of representativeness and responsiveness in relation to Nepalese Civil Service.

The intangible assets of a company have been presented by national and international surveys as a resource to influence the creation of value and the increase in organizational performance. In view of this, this study aims to analyze the relationship between intangibility and the performance of companies in Latin America.

For this purpose, multiple regression with panel data was used and three perspectives for measuring intangible resources were defined: representativeness of the intangible asset, accounting measure for measuring the intangible, degree of intangibility and Tobin’ Q, the latter two representing economic and financial measures to determine intangibility. The study covered the period from 2011 to 2017 with a sample of 1,236 publicly traded companies located in some Latin American countries, namely, Argentina, Brazil, Chile, Colombia, Mexico and Peru.

The results demonstrated the existence of a significant and positive relationship between the variables of intangibility, degree of intangibility and Tobin’s Q, and the performance variables, return on assets, operating margin and asset turnover, reinforcing the study hypothesis that the greater the investment in intangible resource, the greater the company’s performance.

The limitations of this study involve the lack of complete information about intangible resources in the financial statements of some companies and some countries, making it hard to analyze the proposed relationship more broadly and accurately. Another limitation involves the causal relationship that may have existed between the regressors of the models defined in the study and their error, thus generating an endogeneity problem in the proposed models. It is recommended for future research to use specific methods to mitigate possible problems of endogeneity in regressions.

Mainly the possibility of deepening the relationship between intangibility and business performance, thus obtaining new knowledge through the reflexes of this relationship on companies in Latin American countries, finding more consistent results.

The study contributes to the decision-making process in the business world by informing the primary users of accounting information such as investors, administrators, accountants, regulators and creditors.

This research contributes by addressing a theme whose studies present many gaps, making it possible to deepen the relationship between intangibility and business performance and gain new knowledge through the reflexes of this relationship on companies in Latin American countries.

This paper aims to evaluate the relation between governance and financial efficiency of credit unions in Brazil. The study shows how poor financial efficiency in credit unions may result from undesirable configurations in executive management and other variables related to governance.

The study develops an innovative methodology to classify credit unions according to the level of governance using indicators of representativeness and participation, leadership, management and supervision. This methodology integrates the use of multiple correspondence and cluster analysis. The study then applies stochastic frontier models to analyze how governance affects the indicators of financial efficiency.

The results highlight that better governance substantially increases the efficiency of credit unions in terms of a higher level of credit operations per institution.

The paper uses a pioneering survey applied by the Central Bank to almost the total population of credit unions in Brazil. The results highlight how to operationalize a subjective and broad concept related to cooperative governance to identify the remarkable impacts of good governance practices on the financial efficiency of credit unions.

The purpose of this paper is to show that mixed methods applied sequentially provide sufficient knowledge of topics under study.

This paper conducted an analysis of a real case using descriptive statistical and regression techniques.

The present study proposes the use of the so-called “sequential mixed-modes” in survey-based market research. This technique is based on the successive application of different information collection techniques (face-to-face, telephone and internet-based surveys); it offers four fundamental advantages: increased coverage rate; higher response rate; lower costs; and greater cooperation.

In addition to the normal limitations associated with conclusions derived from case studies, the data collection was carried out in only one autonomous community (Spain) and focussed only on one theme.

Firstly, it was found that data collection through mixed sequential modes substantially increases response rates in online surveys. This is particularly important as, in recent years, data collection through the internet has become almost standard market research practice. Secondly, the sample that resulted from the joint use of the three data collection modes more accurately reflected the distinctive features of the universe under study. A third recommendation is that the use of internet-based self-administered surveys is especially promising with individuals with a higher level of education and among students.

The decrease in the response rate is one of the greatest challenges of survey-based market research, given its impact on sample representativeness. This paper addresses this problem and exposes the advantages of the sequential use of mixed modes in the collection of information.

El objetivo de la presente investigación es mostrar que los modos mixtos aplicados de manera secuencial ofrecen un conocimiento adecuado de los temas objeto de estudio.

Se realiza el análisis de un caso real mediante técnicas descriptivas y regresión.

Este trabajo presenta los denominados “modos mixtos secuenciales” en la investigación a través de encuestas. Esta técnica se basa en la aplicación sucesiva de diferentes herramientas de recogida de información (encuestas presenciales, telefónicas y por Internet) y ofrece cuatro ventajas fundamentales; (1) aumento de la tasa de cobertura; (2) mayor tasa de respuesta; (3) menores costes; y (4) mayor cooperación.

Además de las limitaciones normalmente asociadas a los estudios de caso, la recogida de información se redujo a una única comunidad autónoma (España) y un único tema.

En primer lugar, se observa que la recogida de información mediante modos mixtos secuenciales aumenta de manera sustancial la tasa de respuesta en las encuestas online. Esto es particularmente relevante en la situación actual, pues la utilización de Internet casi se ha convertido en un estándar en la investigación de mercados. En segundo lugar, la muestra final obtenida como resultado del uso de tres modos de recogida refleja de manera más ajustada las características distintivas de la población objeto de estudio. Una tercera implicación es que el uso de encuestas online de carácter autoadministrado es especialmente prometedor en individuos de mayor nivel educativo y entre estudiantes.

摘要

本文的目的是要证明，按顺序应用的混合方法为研究的主题提供了充分的知识。

本文运用描述性统计和回归技术对一个实际案例进行了分析。

本文提议使用 “顺序混合模式” 来调查市场研究。这项技术是基于连续运用不同的信息收集技术(面对面、电话和基于互联网的调查) ，它提供了四个基础性优势: 增加覆盖率; 更高的回复率; 降低成本; 和更大的协作。

除了常见的案例研究所存在的局限性之外，本文的数据收集仅在一个自治社区(西班牙)进行，并且只集中于一个主题。

首先，通过混合序列模式收集数据，大大提高了在线调查的回复率。这一点尤其重要，因为近年来，通过互联网收集数据几乎已成为标准的市场研究实践。其次，联合使用三种数据采集模式所得到的样本更准确地反映了所研究社区的鲜明特征。第三个建议是，使用基于互联网的自我管理调查对调查教育水平较高的个人和学生群体具有很大的调查前景。

回复率的下降是基于调查的市场研究面临的最大挑战之一， 因为它大大影响了样本代表性。本文解决了这一问题，并揭示了在信息收集中顺序使用混合模式的优点。

The purpose of this paper is to propose new directions for human resource management (HRM) research by drawing attention to online data as a complementary data source to traditional quantitative and qualitative data, and introducing network text analysis as a method for large quantities of textual material.

The paper first presents the added value and potential challenges of utilising online data in HRM research, and then proposes a four-step process for analysing online data with network text analysis.

Online data represent a naturally occuring source of real-time behavioural data that do not suffer from researcher intervention or hindsight bias. The authors argue that as such, this type of data provides a promising yet currently largely untapped empirical context for HRM research that is particularly suited for examining discourses and behavioural and social patterns over time.

While online data hold promise for many novel research questions, it is less appropriate for research questions that seek to establish causality between variables. When using online data, particular attention must be paid to ethical considerations, as well as the validity and representativeness of the sample.

The authors introduce online data and network text analysis as a new avenue for HRM research, with potential to address novel research questions at micro-, meso- and macro-levels of analysis.

Computing ethics represents a long established, yet rapidly evolving, discipline that grows in complexity and scope on a near-daily basis. Therefore, to help understand some of that scope it is essential to incorporate a range of perspectives, from a range of stakeholders, on current and emerging ethical challenges associated with computer technology. This study aims to achieve this by using, a three-pronged, stakeholder analysis of Computer Science academics, ICT industry professionals, and citizen groups was undertaken to explore what they consider to be crucial computing ethics concerns. The overlap between these stakeholder groups are explored, as well as whether their concerns are reflected in the existing literature.

Data collection was performed using focus groups, and the data was analysed using a thematic analysis. The data was also analysed to determine if there were overlaps between the literature and the stakeholders’ concerns and attitudes towards computing ethics.

The results of the focus group analysis show a mixture of overlapping concerns between the different groups, as well as some concerns that are unique to each of the specific groups. All groups stressed the importance of data as a key topic in computing ethics. This includes concerns around the accuracy, completeness and representativeness of data sets used to develop computing applications. Academics were concerned with the best ways to teach computing ethics to university students. Industry professionals believed that a lack of diversity in software teams resulted in important questions not being asked during design and development. Citizens discussed at length the negative and unexpected impacts of social media applications. These are all topics that have gained broad coverage in the literature.

In recent years, the impact of ICT on society and the environment at large has grown tremendously. From this fast-paced growth, a myriad of ethical concerns have arisen. The analysis aims to shed light on what a diverse group of stakeholders consider the most important social impacts of technology and whether these concerns are reflected in the literature on computing ethics. The outcomes of this analysis will form the basis for new teaching content that will be developed in future to help illuminate and address these concerns.

The multi-stakeholder analysis provides individual and differing perspectives on the issues related to the rapidly evolving discipline of computing ethics.

This study aims to describe and evaluate various visual and creative tools for supporting the in-depth biographical interview aimed at analyzing educational communities and their stakeholders.

Researching educational spaces today requires new ways of understanding, analyzing and studying. The complex characteristics, functions and realities demand research that responds to educational singularities. It is a matter of deeply understanding the educational phenomenon's peculiarities. For these purposes, instruments and research paradigms are needed to extract data and reach information saturation regarding the data obtained from the proposed objects of study. With this in mind, the following paper suggests reflecting on data collection tools that can complement the interview and biographical-narrative research approach. The authors highlight the use of photo-elucidation, the biogram-based timeline, the organigram and the flight of the geese, all of which are instruments endowed with a visual character that allows a deeper understanding of the object studied.

The main contribution of this paper is to unpack the uses and applications of four visual tools that support the interview technique. First, photo-elucidation is presented as a sensory strategy to stimulate the narrative during the dialogical exchange of the interview. Next, the timeline is described as a visual concretization of the traditional biogram widely used in educational research. Next, the authors unravel the uses of the organizational chart in educational research, which, due to its nature and utility, provides a glimpse of the organizational functioning of an institution and is particularly suitable for research in institutional frameworks. Finally, the tool known as the flight of the geese is presented. This tool is recommended for use in educational leadership and teamwork studies due to its simplicity and high representativeness of the hierarchy of roles and functions.

Researching educational spaces today requires new ways of understanding, analyzing and studying. The complex characteristics, functions, and realities demand research that responds to educational singularities. It is a matter of deeply understanding the educational phenomenon's peculiarities. For these purposes, instruments and research paradigms are needed to extract data and reach information saturation regarding the data obtained from the proposed objects of study. With this in mind, the following paper invites us to reflect on data collection tools that can complement the interview and biographical-narrative research approach. The authors highlight the use of photo-elucidation, the biogram-based timeline, the organigram, and the flight of the geese, all of which are instruments endowed with a visual character that allows a deeper understanding of the object studied.