Search results

The purpose of this study is to examine social media use and its impacts on first generation students by answering the two questions: how do FGS use social media on college campuses, compared to their peers? How does the use of social media affect their academic experiences?

This qualitative study adopted social capital theory as a sensitizing framework for understanding the social media (SM) use and the resources valued by first-generation students (FGS) and used a revealed causal mapping method to analyze the narratives of 96 informants to identify key constructs and linkages on SM use and perceived outcomes.

The revealed causal mapping (RCM) analysis revealed nine key constructs that shaped the SM use and academic experience of FGS and their peers. The linkages among the nine constructs: three types of social capital (bridging, family bonding and friend bonding), three types of SM use (social, cognitive and hedonic) and three outcomes (academic support, emotional support and distraction to work) were different between FGS and their peers. Among FGS, SM use and perceptions differed by gender.

Leveraging social media is critical for universities to enhance FGS persistence, yet knowledge remains limited. This study showed FGS differed from their counterparts in the SM use and perceptions. Among FGS, the SM use and perceptions differed by gender. The research contributions are: (1) SM technology can empower FGS by building social capital, impacting their academic experiences and psychological well-being and (2) the intersection of gender and student generation status is worth investigation. This paper enriches FGS research by proposing a model of SM use and social capital.

Our primary objective is to provide method-related broad guidelines to researchers on the entire spectrum of issues involved in cause mapping and to encourage researchers to use causal mapping techniques in strategy research. We challenge strategists to open the black box and investigate the mental models that depict the cause and effect beliefs of managers, “walk” readers through the causal mapping process by discussing the “nuts and bolts” of cause mapping, provide an illustration, and outline “key issues to consider.” We conclude with a discussion of some promising research directions.

This chapter’s focus is comparative causal mapping (CCM) methods in MOC research. For a background, the chapter discusses first the conceptual (cognitive theoretic) basis in typical CCM studies and its implications for understanding the target phenomena and for CCM methods. Next, it presents the CMAP3 software and describes its operating logic and main functions. Third, the chapter describes how to use CMAP3 in three prototypical cases of CCM, each characterized by different research objectives, kinds of data, and methods of data acquisition but also by potential dilemmas. The chapter concludes by speculating about the future directions of causal mapping and suggesting some ideas for developing in particular large-N CCM methods.

The implications and influence of different cognitive map structures on decision-making, reasoning, predictions about future events, affect, and behavior remain poorly understood. To-date, we have not had the mechanisms to determine whether any measure of cognitive map structure picks up anything more than would be detected on a purely random basis. We report a Monte Carlo method of simulation used to empirically estimate parameterized probability outcomes as a means to better understand the behavior of cognitive map. Using worked examples, we demonstrate how the results of our simulation permit the use of exact statistics which can be applied by hand to an individual map or groups of maps, providing maximum utility for the collective and cumulative process of theory building and testing.

This chapter applies Axelrod’s (1976) and Huff’s (Huff, A. S. (1990). Mapping strategic thought. In A. S. Huff (Ed.), Mapping strategic thought (pp. 88–115). Chichester: Wiley; Jenkins & Huff, 2002) approach to mapping strategic thought (causal mapping) to (1) categorize how manufacturers of new fast moving consumer goods (FMCGs) may respond to environmental feedback to their decisions and (2) assess the effectiveness of alternative implemented decisions in assisting organizational growth. The manufacturing of new FMCGs requires timely product modifications in the assumptions of entrepreneur thinking in response to environmental responses/non-responses to decisions/actions of the manufacturing enterprise. A detailed example of causal mapping analysis is presented for a manufacturing entrepreneurial case study; the example covers processes linking events, decisions, and activities in business start-up, growth, and failure of the enterprise. The chapter closes by suggesting that causal mapping analysis is a valuable tool for advancing theory construction from case study research. The chapter provides a research plan for future reports applying causal mapping in retailing entrepreneur studies.

At the level of a cognitive schema, a business model is a mental map of a firm’s value-creating, value-delivering, and value-capturing activities and the linkages between them. An important question in the study of business models as cognitive schemas is whether and how schemas differ across industry actors and whether the differences are connected to the variation observed in actual business models in the industry. This chapter examines, in particular, the ways in which business model schemas of industry insiders differ from those of industry outsiders. Using data from interviews with chief executive officers (CEOs) of 30 legal-tech firms, we graphically construct and analyze the CEOs’ schemas of important causal interdependencies between their firms’ activities. The analysis shows systematic differences between insiders and outsider CEOs’ schemas. We theorize that these differences underlie insider and outsider CEOs’ distinct approaches to opportunity recognition, expertise perception, and value framing, and have consequences for actual business model evolution in the industry.

The paper's first objective is to develop a new conceptual framework for categorizing and designing cognitive, specifically comparative, causal mapping (CCM) research by building upon the theory‐centred and participant‐centred perspectives. The second purpose is to enable the discerned study prototypes by introducing a new CCM software application, CMAP3.

Building upon the distinction between theory‐centred (etic) and participant‐centred (emic) perspectives in social research, we first construct and apply a conceptual framework for analysing and categorising extant CCM studies in terms of their objectives and basic design. Next, after noting the important role and basic tasks in computerising causal mapping studies, we present a new CCM software application.

The theory‐centred/participant‐centred perspectives define four causal mapping study prototypes, each with different goals, basic designs and methodological requirements. Noting the present lack of widely accessible software for qualitatively oriented CCM studies, we introduce CMAP3, a new non‐commercial Windows application, and summarise how it is used in related research.

The framework and the studies representing the prototypes demonstrate the versatility of CCM methods and that the proposed framework offers a new, systematic approach to categorising and designing CCM studies. Research technically, CMAP3 can support the defined CCM‐prototypes, based on a low‐structured (inductive/qualitative) or a structured (nomothetic/quantitative) methodological approach/stance, and having therefore different needs of data acquisition, processing, coding, aggregation/comparison, and analysis of the emerging aggregated cause maps’ contents or structure.

Examines the issue of growth within the small firm and considers the main influences that impinge on the evolution of the enterprise. An interpretative methodological technique, causal mapping, is examined, evaluated and used to analyse the decision‐making processes made by the owner‐manager of a small Irish‐owned electronics firm. This method allows the researcher to trace the positive and negative consequences of the decisions on the subsequent growth and development of the company. The role which business and marketing planning plays in such a process is a recurring theme which is given close scrutiny throughout this paper.

The purpose of this paper is twofold: first, using the case of Finnish small business advisors (SBAs), it aims to clarify a controversy in entrepreneurship policy about using public funds to foster solo and micro entrepreneurship. The study reveals the SBAs’ belief systems to facilitate policy-relevant conclusions about their advisory competence, counseling tendencies and probable impact on nascent entrepreneurs and macro consequences like firm displacement. Second, methodologically, the study’s cognitive perspective and method enable researchers to assess the approach and its potential.

The SBAs’ (n=15) belief systems were elicited by interview-based causal mapping. They are summarized using aggregated causal maps and analyzed to understand the SBAs’ dominant mindset and to draw conditional inferences about their professional competence and impacts.

The SBAs have convergent belief systems about the causes and consequences of micro entrepreneurship. They are generally competent to detect and foster viable solo and small micro firms. From a policy viewpoint, however, they ignore indirect effects like firm replication and appear risk aversive, less inclined to promote their clients’ growth intentions and plans.

For entrepreneurship policy makers, the study clarifies a controversial issue. It finds clear grounds for public funding of SBA type services, but this may depend on policy goals and local conditions. For the SBAs, the study suggests proactive, income-generating services for improved financing and legitimacy. For entrepreneurship researchers, it demonstrates the potential and limits of the cognitive approach and causal mapping.

Studies of entrepreneurial intentions (EIs) have become increasingly common, informed usually by Ajzen’s (1991) theory of planned behaviour (TPB). Although the TPB postulates that beliefs determine EIs, the contents of the beliefs have not been properly studied, leaving EIs’ cognitive underpinnings and cognitive approaches to influencing EIs unclear. To clarify the TPB/EI-belief nexus, the study examines the conceptual background of entrepreneurial cognitions and elicits the beliefs of a group of nascent micro entrepreneurs (NMEs) to compare them with their TPB attitudes and EIs, facilitating assessing their mutual consistency as implied by the TBP.

The respondents are entrepreneurial novice clients of a micro business advisory organisation. Their TPB attitudes and EIs were measured using standard TPB/EI methods. Comparative causal mapping (CCM) combined with semi-structured interviewing was used to reveal the NMEs’ typical belief systems, presented as aggregated cause maps.

The NMEs have uniform, relatively detailed belief systems about entrepreneurship and micro business. The belief systems are consistent with theory- and context-based expectations and logically aligned with the NMEs’ expressed TPB attitudes and EIs. CCM provides an accessible method for studying contents of entrepreneurial cognitions.

It was not possible to study “entrepreneurship-negative” respondents or the intensity or origins of some specific beliefs.

Diagnosing and better understanding beliefs can benefit entrepreneurship education and development, in general or connected with TPB/EI studies.

The study reveals entrepreneurial belief systems systematically, evidently not done before generally or in terms of “everyday” micro entrepreneurship or TPB. It clarifies and supports the TPB notion that beliefs underpin actors’ attitudes and intentions.