Year: 2024
Type: article
Study design: Observational Study
Abstract: The field of entrepreneurship has recently experienced a shift, with scholars from various backgrounds such as sociology, anthropology, and business strategy incorporating their discipline-specific ideas into the study of what leads to and results from the establishment of new ventures. Whether in the context of established companies or startup enterprises, much of the motivation behind this transformation stems from the recognition that entrepreneurship is a driving force behind business growth, the generation of fresh employment opportunities, and the stimulation of economic progress. Our research contribution involves the development of an assessment methodology for evaluating normalization techniques. In this context, our focus is on six widely recognized normalization techniques and the application of the TOPSIS method for evaluation purposes. International comparative research is widely utilized by governmental policymakers across the globe, and this is particularly relevant given the growing interest in entrepreneurship among business leaders. It pertains to the geographical boundaries of a nation and involves the promotion or inhibition of the establishment of new businesses, influenced by various psychological, social, and economic factors. This research, which has recently gained an international dimension, is increasingly crucial in the domain of international entrepreneurship studies. The predilection for entrepreneurship in specific societies, as well as the inclination towards it, underscores the significant role that culture plays in entrepreneurship theory. In a cross-national study conducted across nine different countries, approximately 1800 fourth-year university students were surveyed. The sample for this research was drawn from this dataset. The survey instrument administered to the students was specifically designed to elicit their attitudes and opinions regarding free markets, competition, and the contribution of entrepreneurship to economic growth. This study employs integrated entropy weighting to select information systems and proposes the use of the TOPSIS method. Evaluation Criteria and Objective Weights: The text mentions the need to evaluate alternatives based on certain criteria and calculate their objective weights. This suggests a structured approach to decision-making. Information Entropy Information entropy is used as a tool for calculating these objective weights. Information entropy is a concept from information theory that measures the uncertainty or randomness associated with a set of data. In this context, it is used to quantify the significance of different evaluation criteria. Modified TOPSIS Method The text indicates that the modified TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is employed. The TOPSIS method is a multi-criteria decision-making technique used to determine the ranking of alternatives based on their proximity to the ideal solution. Ranking of Alternatives, the modified TOPSIS method is applied to rank the alternatives based on the calculated objective weights and the evaluation criteria. Decision Support The purpose of this approach is to support the decision-making process. By using information entropy and the modified TOPSIS method, decision-makers can select the most suitable option among the alternatives based on relevant information. The provided text discusses how cultural differences between the United States and other cultures can impact control orientation, particularly regarding internal location, leading to an increase in a specific slope. However, the text is quite concise, and additional context is needed to fully understand the implications and details of this statement. Conversely, the likelihood of this internal locus of control orientation diminishes. These findings point to the fact that as one's cultural distance from America grows, their perceived control over their own fate decreases. The primary aim of this thesis is not to propose a new definition for entrepreneurship as a research field, as that would be both impractical and redundant, given the numerous existing definitions. Instead, it seeks to contribute to the field by reevaluating and refining the concepts and proposals already put forth by researchers. Its goal is to promote theoretical integration that can benefit the broader scientific community. This proposal is grounded in a thorough examination of published literature, particularly the work of Gardner (1990), to gain a deeper understanding of the conceptions that researchers in the entrepreneurship field have. It serves the purpose of providing a more detailed definition of what is explored within the realm of entrepreneurship. The introduction of a new perspective on defining the entrepreneurship sector carries significant implications, some of which we will delve into in the following paragraphs. Importantly, this new perspective aligns with the viewpoints of many scholars in the field. In the realm of Strategic Management, the connection between innovation and entrepreneurship is well-established. Researchers in this area are actively working to demystify the intricacies of this relationship. However, it's essential to note that the subject matter they investigate differs. Some researchers are naturally more inclined towards exploring the aspects of venture creation, often focusing on the small business sector, while others; the provided text mentions that the statement is particularly relevant within the context of strategic management. This implies that the discussion about control orientation and its relationship to the cultural gap is important when it comes to making strategic decisions and managing organizations effectively. However, the text remains quite abstract, and specific details or examples are needed to understand the exact nature of this relevance in strategic management. are primarily interested in innovation? The field of entrepreneurship serves as a common ground for researchers who might not find their niche in more established or "noble" fields or disciplines. This perspective aligns with the notion that entrepreneurship acts as a convergence point for researchers from diverse disciplines. Although entrepreneurship has a historical precedent dating back to human history, as seen in ancient Babylon where cuneiform tablets recorded business transactions involving entrepreneurs, its formal existence as an academic discipline is relatively recent. When compared to long-standing fields, it is akin to the fruits of scholarly labor over several decades. Drawing a parallel between older disciplines and entrepreneurship is like comparing a railway station with an airport; the railway station was constructed a long time ago, emphasizing the relatively recent development of entrepreneurship as an academic field. The primary purpose of developing the TOPSIS method was to handle real-valued data exclusively. In many instances, it can be challenging to provide precise assessments of alternatives based on local criteria, leading to the consideration of these assessments as intervals. There have been a limited number of papers dedicated to extending the TOPSIS method to accommodate interval data. However, these extensions differ in their definitions of positive and negative optimal solutions and rely on heuristic approaches. When exploring certain critical aspects of entrepreneurship, we leverage longitudinal data to facilitate a more detailed investigation. This approach yields results that challenge conventional wisdom and the models of occupational choice based on imperfect information. Entrepreneurs can elucidate this relationship, and behavioral models of selection prove to be invaluable. To address this inquiry, we assessed entrepreneurship metrics used in prior longitudinal studies. We then aimed to construct a new longitudinal dataset based on Hawley's (1907) entrepreneurship theory, providing the foundation for testing the model of entrepreneurship. This new dataset was created in collaboration with the United Nations. The measurement introduced in this article is considered a more suitable gauge for tracking entrepreneurship trends over time at the individual level. Measurement of Entrepreneurship over Time: The text suggests that measuring the evolution of entrepreneurship over time is a challenging task. It points out that there is no single definitive measure for this purpose. Limitations of Longitudinal Measures Regardless of the nature of longitudinal measures used to assess Entrepreneurship; the text mentions that they are unable to fully capture the complex nuances associated with entrepreneurship. It implies that entrepreneurship is a multifaceted concept that is difficult to measure comprehensively. Convergent Validity The text refers to the challenge of establishing convergent validity between various measures of entrepreneurship. Convergent validity is a statistical concept that relates to the extent to which different measures should be related in a meaningful way. Scholarly Debate The text suggests that the article's focus on the conceptualization and measurement of entrepreneurship will stimulate debates among scholars. This indicates that there are ongoing discussions and disagreements in the academic community regarding how entrepreneurship should be defined and measured. Use of TOPSIS Method The article mentions the use of the traditional TOPSIS method for analysis. TOPSIS is a decision-making technique used to determine the best choice among a set of alternatives based on specific criteria. Empirical Explanation The text notes that the article aims to provide an empirical explanation using a simulation technique. This implies that the study uses data and simulations to address issues related to entrepreneurship measurement and analysis. Theoretical Foundations the article also aims to deepen understanding of the theoretical foundations of th
DOI: 10.46632/rmc/5/3/6
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4403794876