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The purpose of this study is to explore an optimal research design for research on women entrepreneurs involved in negotiating term sheets for private equity capital. This research explores new ways for researchers to connect with such current “invisibles” through the use of a mixed method and mixed mode research design to expand sampling options and secure respondent participation. The authors discuss existing data sets that have been used as secondary sources for data on financing of companies and consider their inadequacy for research questions about process issues in negotiation. The authors present process-related findings regarding the efficacy of the research design.

This paper reviews research on research methodology, incorporating a discussion of practices outside of the entrepreneurship discipline to discover effective practices for identifying respondents and data not currently captured in entrepreneurship data sources. The respondents were found through social media sites, angel networks, University networks and via identification through a proprietary financial intelligence database.

An optimal research design to identify women business owners of growth-oriented firms who have negotiated private equity should consider mixed methods designs and mixed modes, including the use of digital networks that signal to potential respondents that research is being done.

Although the authors developed the multi-method, mixed mode (MMMM) research design, the sample size is still relatively small. This raises concerns about generalizability to the larger population and limits statistical analysis more suitable with larger data sets. However, the MMMM research design has enabled the authors to reach a difficult target sample. It has proven effective, although a longer time frame would have been helpful.

All of the large scale databases in entrepreneurship have limitations in providing optimal sampling frames for process-related research. The present research study was able to use conventional networks, social media sites and angel networks to connect with women business owners who have raised private equity, but who lack visibility in current data sets. The study shows that through the use of multiple methods, women entrepreneurs can be researched and some will share their experiences about process issues. The sample size was small and the quantitative data cannot be generalized. However, the methodology works and allows researchers to explore experiences that are not captured in existing data sets.

Entrepreneurship researchers can connect with “invisibles” by becoming more “social” and using social media sites that are used by women entrepreneurs. Researchers may not have immediate access to women entrepreneurs through these means, but rather they need to develop interpersonal contacts, build a social presence and trust to recruit respondents to complete online questionnaire studies about substantive topics such as negotiating term sheets for equity investments in their companies.

This paper summarizes the “research on research methodologies” in entrepreneurship, reviews secondary data sources and discusses their limitations for specific types of research questions. A review of the value of MMMM research designs and best practices in online survey research outside of entrepreneurship provides insights into the incorporation of digital tools in other disciplines.

This paper focuses on the role of manufacturer brands for resellers within retail channels. This topic is important because of the strategic value of manufacturer brands and the increasing influence of resellers within channels of distribution. Much of the branding research emphasizes a customer-brand knowledge perspective; however, emerging perspectives suggest that brands are also relevant to other stakeholders including resellers. In contrast, channels research recognizes the manufacturer sources of market power, but does not consider the impact of manufacturer “push and pull” strategies within channels. Existing theoretical frameworks, therefore, do not address the reseller perspective of the brand. As a result, the research approach is a multi-method design, consisting of two phases. The first phase involves in-depth interviews, allowing the development of a conceptual framework. In the second phase, a survey of supermarket buyers on brands in several product categories tests this framework. Structural equation modeling analyzes the survey responses and tests the hypotheses. The structural model shows very good fit to the data with good construct validity, reliability, and stability. The findings show that manufacturer support, brand equity, and customer demand reflect the manufacturer brand benefits to resellers. A key contribution of this research is the development of a validated scale on manufacturer brand benefits from the point of view of a reseller. This research shows that the resources that relate to the brand, not just the brand name itself, create value for resellers in channel relationships.

The design and implementation of an interpretive framework to study historically marginalized issues in management is a distinct area of research. This paper aims to propose a multi-method interpretive framework, integrating a historiographical approach and an archival investigation, and use the case of business responses to disability in colonial and post-independence India to elucidate the proposed framework.

This paper provides a summary of a proposed framework for the historical study of marginalized social issues using an interpretive paradigm. It also outlines the advantages and limitations of the proposed framework.

This paper makes a methodological contribution in multi-method interpretive research design for the historical study of socially constructed issues, neglected because of deep prejudice and social exclusion, that offer complex challenges for modern businesses seeking inclusive workplace strategies.

This paper proposes a research framework that contextualizes social issues in history (historiographical study) and cases of business responses to these issues (archival study) for the examination of historically marginalized issues in the business–society relationship.

The purpose of this paper is to evaluate the status of entrepreneurship education (EE) in Australia, replicating and expanding a similar study in 2015. The aim is to review neoteric global best practice EE initiatives, enabling the examination and embedding of EE offerings and initiatives at all 40 higher education institutions (HEIs) in Australia.

The authors introduce a review of prominent and recent global EE scholarship, enabling an iterative and emergent inquiry perspective aligned to inductive and nascent multi-method empirical research associated with theoretical underpinnings of symbolic and substantive management theory.

This paper highlights the sparse and inconsistent distribution of EE programs and initiatives across all 40 Australian HEIs, particularly against the backdrop of rapidly expanding start-up and entrepreneurship ecosystems. Furthermore, outcomes provide best practice EE initiatives, which included staff mobility and transferability of skills. HEIs in Australia are experiencing a moderate EE boom, albeit marginally down on global EE transformation initiatives.

Limitation of the data is subject to availability and accuracy of online documents and material resources, although implications have been mitigated using multi-method research design.

The findings provide critical grounding for researchers, practitioners and HEIs wishing to enhance EE within ever-expanding entrepreneurship ecosystems.

This study is the first multi-methods inquiry into the status of EE in Australia, consisting of quantitative, qualitative and algorithmic methods.

The purpose of this paper is to explore the status of university accelerators (UAs) in Australia, expanding a similar paper on related entrepreneurship education (EE) in 2019. The aim is to review neoteric global best practice UA, aligning context and specific inference to the impact of UAs in Australia.

The authors introduce an iterative and emergent inquiry into multi-method research, including a quantitative examination of Australian UAs, Leximancer algorithmic analyses of entrepreneurial strategic intent and narratives from best practice applications.

The paper highlights the sparse and inconsistent distribution across UAs in Australia, further characterized by significant symbolic motives of operation. Furthermore, the integration of EE evidenced on global UA is not as evident in Australia, highlighting outcomes more specific to the success of nascent (student) startups as opposed to educational outcomes.

Limitations include the availability and accuracy of online documents and data, although implications have been mitigated using multi-method research design.

Despite the provision of critical grounding for practitioners and researchers in developing UAs, further research is recommended regarding the efficacy and impact of these accelerators.

This study is the first multi-methods emergent inquiry into UAs in Australia, coupled with integration of EE. The authors provide guidelines and inferences for researchers, educators, policymakers and practitioners alike as they seek to explore and act upon the impact of UAs.

The purpose of this paper is to utilize a multi-method design for research on corruption in China. Corruption in any society is inimical to good governance. Singapore, despite her size, is argued to be a plausible model for China.

Taking a multi-method approach, the phenomena of corruption is investigated from: etymological analyses for corruption (European roots) and its Chinese equivalent, 贪污 (pinyin: tan wu) case studies taken from three periods: current, Qing Dynasty and to founding of China (zhong guo, Qin Dynasty) to ground our policy recommendation of China be modeling after Singapore on the basis of our analysis of statistical (2013 and longitudinal) data. In the process, the authors embark on inter-country comparisons (mainly Confucian China, Hong Kong, Taiwan, South Korea and Japan).

Here are the key insights: scholars are unaware the English word corruption is narrower in scope than the Chinese equivalent tan wu贪污. As far back as 3,000 years, the Chinese had attributed wu, 污 as filthy, polluting, dirty to psychological concept of greed tan, 贪. In English, corruption does not denote greed per se. Falsification of facts as a political ploy dates back to Qin dynasty. Destabilizing corrupt cases occurred in China today as in Qing Dynasty. Singapore rather Hong Kong is a better model for China in reforming society.

This paper illustrates a distinctively, in-depth approach to research on Chinese management. It shows why it is important to clarify key concepts: corruption in the West and tan wu贪污in the East. Historical cases are utilized to show the presence of a continuing Chinese mind set. The authors argued for China to embark on a city-by-city strategy (modeling after Singapore) toward becoming a corruption-free society. Now, as 3,000 years ago, the Chinese conceptualization of corruption embeds the psychology of greed.

China is at a crossroad of her economic development. There is a possible risk of China being destabilized through the corruption of the top rung of leadership. Chinese authorities must with urgency, rein in corruption. An approach is proposed in this paper.

In terms of style, approach and method of research, this paper is highly original. The integrative research here provides a rationale and basis for the Chinese leaders to implement a policy for a less corrupt society.

This paper aims to describe the transdisciplinary, multiphase, mixed methods, generative design research, participatory planning and social design activities developed and implemented by the West Virginia University Rural Tourism Design Team and associated outcomes.

The multiphase methodology included quantitative and qualitative research in initial stages of the study (key informant interviews, resident attitudes toward tourism survey, visitor preferences survey, economic impact analysis) which informed social design activities at latter stages (asset mapping, landscape design/visualization of opportunities and sites targeted for development and cultural identity design) using generative design tools facilitating co-design with the communities and helping the destination take sequential steps toward achieving their goals and objectives.

Opportunities and challenges identified through multiple methods were triangulated and pointed to the same conclusions including the need for long term planning and managed growth; protecting community values; underutilized natural, cultural and historic assets; the opportunity to develop nature-based, cultural and historical attractions; and the need for a common vision and collective identity.

This study makes a unique contribution to literature on sustainable tourism planning by incorporating social design activities to visualize findings of more traditional planning methods and provide tangible, visible outcomes of planning activities which can guide local stakeholders in rural destinations more directly to funding for planning recommendations and project implementation.

The transdisciplinary and social/generative/participatory approach provided a scaffolding of outputs to the community with citizen control and active involvement throughout the planning and design process. The incorporation of social design provided tangible outcomes including site designs and a cultural identity. Generative design research gives people a language with which they can imagine and express their ideas and dreams for future experiences.

This paper investigates the role of social design in a transdisciplinary, multiphase project to support sustainable tourism planning.

The purpose of this study is to identify the antecedents of entrepreneurial intentions of young women in India because currently Indian Government is emphasizing heavily on women’s participation in the mainstream of economic activities in the country. This study focuses on entrepreneurial intentions as the most important stage of entrepreneurship process. Based on the theory of planned behavior, propounded by Ajzen (1991), it points out intentions as the most significant predictor of human behavior.¤

This paper uses multi-method analysis for validation of the model proposed by Linan. In Study 1, an adapted version of Entrepreneurial Intention Questionnaire (EIQ) (Linan and Chen, 2009) was administered to a group of 248 female students studying in under-graduate science, commerce, arts or management courses, who voluntarily participated in the survey. Quantitative data analysis was conducted using partial least square (PLS) path-modeling algorithm. In Study 2, qualitative study was conducted on 110 young female students using focus group interview technique. Framework analysis was used for the data analysis of the qualitative study.

This study confirms the role of social valuation as an important antecedent of entrepreneurial intentions among women. However, it also identifies that entrepreneurship education is also an important element that affects the entrepreneurial intentions of young women in India.

The study uses multi-method analysis for identifying entrepreneurial intentions among young women in India.

Content analysis is a methodology that has been used in many academic disciplines as a means to extract quantitative measures from textual information. The purpose of this paper is to document the use of content analysis in the supply chain literature. The authors also discuss opportunities for future research.

The authors conduct a literature review of 13 leading supply chain journals to assess the state of the content analysis-based literature and identify opportunities for future research. Additionally, the authors provide a general schema for and illustration of the use of content analysis.

The findings suggest that content analysis for quantitative studies and hypothesis testing purposes has rarely been used in the supply chain discipline. The research also suggests that in order to fully realize the potential of content analysis, future content analysis research should conduct more hypothesis testing, employ diverse data sets, utilize state-of-the-art content analysis software programs, and leverage multi-method research designs.

The current research synthesizes the use of content analysis methods in the supply chain domain and promotes the need to capitalize on the advantages offered by this research methodology. The paper also presents several topics for future research that can benefit from the content analysis method.

This study responds to the calls from the literature on identifying interactions among the sustainable supply chain management (SSCM) drivers, which influence focal firms’ SSCM decisions. It also determines how the effect of SSCM drivers differs across the upstream and downstream supply chains (SCs) entities of fast-moving consumer goods (FMCGs) companies.

We employ a multi-method design encompassing three studies: study 1 (multiple-case study), study 2 (quantitative survey), and study 3 (multiple-criteria decision-making or MCDM modeling).

The results show that the external drivers such as customer pressure, competition, and supplier pressure and internal drivers such as top management commitment interact to influence the adoption of SSCM practices, and this interaction is diverse across upstream and downstream SC entities of the FMCG sector. The study provides empirical evidence of relationships among the SSCM drivers, which influence SSCM decisions.

Understanding these interactions will help managers derive strategies to manage the overall SSCM ecosystem and recognize the multiplier effects of upstream to downstream and vice versa.