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This paper seeks to examine two management doctoral research projects to highlight the advantages in mixed methods as the primary research design.

This paper summarises the methods of data collection and analysis which were used by two doctoral students in their management research. The researchers used mixed methods approaches (quantitative and qualitative) to explore different areas of management.

The paper supports the view that triangulation of research methods strengthens the findings and inferences made for understanding social phenomena in more depth, compared to using a single method.

The paper relies excessively on two doctoral research projects which utilise sequential mixed methods. Therefore, arguments made in the paper are specific because other doctoral projects that have used different methods from those employed in the two projects were not considered.

Early researchers, in particular students commencing doctorate studies, should apply mixed methods research because it develops skills in the two most dominant data collection methods used in management research. This paper is a practical guide on how this could be done effectively.

The paper is drawn from two unique doctoral research projects. The paper's originality and value is in providing experiences and practical insights on how mixed methods research is undertaken.

This article describes the use of mixed methods in the context of e‐business enabled organisational transformation in a strategic business unit of a multinational corporation. It includes a theoretical reasoning as to why mixed methods were used and a description of the role of qualitative research in this research agenda. The article begins by examining the research paradigm, leading to the use of mixed methods and the design process of the actual mixed methods. In giving a roadmap in a contextual setting, the article addresses the need for including studies from the initial conceptual development to its application.

The purpose of this paper is to demonstrate how a web‐based virtual ideation tool, dialogr.com, can be used to capture insights from consumers and to gain an understanding of consumer satisfaction with package design during and after product use. The authors also demonstrate how the resulting rich qualitative data can be combined with output from traditional survey research, to provide insight into the impact of satisfaction with package design on purchase intent.

A mixed‐methods approach was employed that captured qualitative insights from a large number of consumers regarding their experience using product packaging and combined the quantitative rigor of survey research to capture brand familiarity and perceptions, as well as brand preference and loyalty.

Results demonstrate that design is important to consumers and also that consumers are increasingly design literate. The perceived quality of the package design does impact brand evaluation. Negative reactions to product packaging adversely impacted intent to purchase and intent to recommend the product to others.

Results show that the mixed model is a promising method for gaining feedback on new package designs. Substantive implications include: design drives purchase, consumers want to be involved in design, and getting user input on design is important.

Consumer packaged goods companies often test packaging prototypes in a limited way – they either ignore qualitative measurement completely or use small sample focus groups. This quali‐quant method offers two advantages over the methodologies most commonly used to study package design; it has the capacity to engage large numbers of consumers and it can be set up to gather data from consumers during or immediately after product use.

Despite considerable research on the subject, there is still some misunderstanding about what characterizes successful project delivery in construction projects. Evaluating project delivery success is crucial for organizations since it enables them to prepare for future growth through more effective project management mechanisms and rank the organization's projects for continuous improvement. There is considerable disagreement over a set of success criteria that can be applied to all kinds of projects when evaluating project delivery success, making it a complicated procedure for practitioners and scholars. This research seeks to alleviate the problem by validating and testing a systematic project delivery success model (3D integration model) in the Australian construction industry. The aim is to establish a dependable approach built upon prior research and reliable in evaluating delivery success for any project type.

Based on a novel project delivery success model, this research applies a case study methodology to analyse 40 construction projects undertaken by a single Australian project management consultancy. The research utilizes a mixed-method research approach and triangulates three sets of data. First, the project delivery success (PDS) scores of the projects are calculated by the model. Second, a qualitative analysis targeting the performance of the same projects using a different system called the performance assessment review (PAR) scores was obtained. These culminate in two sets of ranking. The third step seeks validation of results from the head of the partnering organization that has undertaken the projects.

The findings of this study indicate that the 3D integration model is accurate and reliable in measuring the success of project delivery in construction projects of various sizes, locations and durations. While the model uses six key performance indicators (KPIs) to measure delivery success, it is evident that three of these may significantly improve the likelihood of PDS: value, speed and impact. Project managers should focus on these priority aspects of performance to generate better results.

Restrictions inherent to the case study approach are identified for this mixed-method multiple-case study research. There is a limitation on the sample size in this study. Despite the researcher's best efforts, no other firm was willing to share such essential data; therefore, only 40 case studies could be analysed. Nonetheless, the number of case studies met the literature's requirements for adequate units for multiple-case research. This research only looked at Australian construction projects. Thus, the conclusions may not seem applicable to other countries or industries. The authors investigated testing the PDS in the construction sector. It can assist in improving efficiency and resource optimization in this area. Nonetheless, the same technique may be used to analyse and rank the success of non-construction projects.

Despite the research conducted previously on the PDS of construction projects, there is still confusion among researchers and practitioners about what constitutes a successful project delivery. Although several studies have attempted to address this confusion, no consensus on consistent performance metrics or a practical project success model has been formed. More importantly, (1) the ability to measure success across multiple project types, (2) the use of triple bottom line (TBL) to incorporate sustainability in evaluating delivery success and (3) the use of a complexity measurement tool to adjust delivery success scores set the 3D integration model apart from others.

The purpose of this paper is to examine the direct and indirect effects of destination image on destination loyalty. Indirect effects are measured via tourists’ satisfaction.

A reliable conceptual framework was developed through a mixed methods research methodology. A three-pronged approach was used to cross-validate the results from a literature review, expert interviews, and exploratory study. Structural equation modeling was used in conceptual model development and hypotheses testing.

Exploratory dimensions of destination image, satisfaction and destination loyalty of Indian cities were revealed from Thai tourists’ perception. The positive indirect effects of destination image on destination loyalty via satisfaction is supported.

This study is limited to tourists of Thai nationality who visited India’s travel destinations. Future research should include further generalization of the research methodology to specific travel destination.

This study provides useful information for India’s tourism industry, specifically for the marketing of historical cities as travel destinations.

By proposing a reliable conceptual model based on a mixed methods research methodology, this study is among the first to explore destination image, satisfaction and destination loyalty in India’s tourism context. The mediating role of satisfaction on destination image and destination loyalty was also recognized as an extension of, and contribution, to the theoretical foundation for the destination image concept.

This study aims to assess the effectiveness of active teaching methodologies, namely, problem-oriented learning and the case method, to develop sustainability competencies. It also analyses the advantages and challenges for teachers when implementing the sustainable development goals (SDGs) in eight undergraduate and postgraduate degrees within the framework of a cross-departmental collaboration.

A mixed research methodology was used: a quantitative study to assess the levels of acquisition of sustainability and research competencies and the potential correlation between them, as well as a mixed study of the advantages and challenges for the teachers participating in the cross-departmental initiative. Curriculum content linked to the SDGs was worked on. Active teaching methodologies and a competency assessment rubric were used as curriculum implementation strategies in the eight courses involved.

Active teaching methodologies are suitable to implement the SDGs in university teaching and to develop both sustainability and research competencies. A synergic effect is observed between them. Coordinated work between teachers of different subjects in several degrees contributes to developing a culture of sustainability at the university.

Although the collaboration between teachers from different disciplines was successful, this study did not promote interdisciplinary projects among students from different degrees. This promises to be highly valuable for future research.

Students can become present and future leaders in achieving the SDGs. This approach can be replicated in other educational institutions.

This study bridges the gap between theoretical recommendations and the practical implementation of the SDGs in undergraduate and postgraduate degrees.

Coordinated work between teachers of different subjects in different degrees contributes to the development of a culture of sustainability at the university.

This chapter provides an examination of the characteristics of comparative and international education research published in 2020 as well as an overview of the trends in this research since 2014. This analysis of published research includes a special focus on authors situated in the Global South as well as those authors who are affiliated with organizations outside of academic (i.e., professional, non-teaching organizations). These two focus characteristics reflect the shifting composition of authors and research in comparative and international education in the twenty-first century as well as the professionalization aspirations of the field of comparative and international education more broadly. Evidence from the seven years of data collection suggests that there is a marked shift toward increasingly more co-authored research, a shift from predominantly qualitative methods to non-empirical research content, and a rise in topic oriented research over the otherwise dominant single-country study in comparative and international education research.

South Dakota is ranked sixth nationally for corn and ethanol production (EP). The purpose of this paper is to investigate the relationship between corn-EP and corn basis volatility using South Dakota data.

A mixed regression modeling approach was adopted to analyze state EP data, and quarterly corn production and price data for five crop reporting regions in South Dakota (1990-2014).

From 2004-Q4 to 2013-Q4, ethanol and corn production in South Dakota increased by 735.50 million gallons and 228.30 million bushel per year, respectively. Empirical estimates indicate that increased EP narrowed the corn basis by 6.16 cents per bushel, and increased corn basis absolute volatility by 2.25 cents. However, increased corn production widened the corn basis by 27.56 cents per bushel and decreased absolute basis volatility by 4.32 cents. On average, for this period, increased EP offset the effect of rapid corn production on average basis and basis volatility in the State of South Dakota. Empirical evidence presented clarifies how the relationship between EP and corn production variability effects the cash basis and basis volatility in local markets.

Research limitations include the use of statewide EP due to the lack of regional data, and the use of aggregate price data rather than local cash market data.

During normal crop production years, corn production is a predominant driver for impacting corn basis and basis volatility. In this case, EP plays a secondary role and dampens the corn production effect by narrowing the cash basis and increasing volatility. However, when a negative corn production shock occurs, then EP amplifies the effect of reduced corn production. In this case, EP strengthens market forces that are narrowing the cash basis and amplifies the market forces that are increasing the volatility of the cash basis.

Negative corn production shocks occurring in regions where corn production and corn-based EP are dominant agricultural activities will increase basis volatility, reducing hedging effectiveness. Expansion of the ethanol blending wall in the future may exacerbate the market forces that have evolved in local cash corn markets as EP renews its expansion in major corn production regions. As a result, producers and grain elevator managers need to be aware that traditional hedging strategies may become less effective as one consequence of a renewed expansion of EP in the USA.

The literature on the effect of corn-EP on corn basis volatility is limited. This is the first study to apply a mixed modeling approach to the issue of how EP affected corn basis and basis volatility.

The purpose of this paper is to discuss the issues in studying hard-to-reach or dispersed populations, with particular focus on methodologies used to collect data and to investigate dispersed migrant entrepreneurs, illustrating shortcomings, pitfalls and potentials of accessing and disseminating research to hard-to-reach populations of migrant entrepreneurs.

A mixed methodology is proposed to access hard-to-reach or dispersed populations, and this paper explores these using a sample of Brazilian migrants settled in different countries of the world.

This paper explores empirical challenges, illustrating shortcomings, pitfalls and potentials of accessing and disseminating research to hard-to-reach populations of migrant entrepreneurs. It provides insights by reporting research experiences developed over time by this group of researchers, reflecting a “mixing” of methods for accessing respondents, contrasting to a more rigid, a-priori, mixed methods approach.

The main contribution of this paper is to showcase experiences from, and suitability of, remote data collection, especially for projects that cannot accommodate the physical participation of researchers, either because of time or cost constraints. It reports on researching migrant entrepreneurship overseas. Remote digital tools and online data collection are highly relevant due to time- and cost-efficiency, but also represent solutions for researching dispersed populations. These approaches presented allow for overcoming several barriers to data collection and present instrumental characteristics for migrant research.

As the shortage in the information technology (IT) workforce continues, it is becoming increasingly important to understand the cultural dimensions of IT occupations that attract or drive away potential IT professionals. In the present study, the authors take an occupational culture approach to study the cultural fit of newcomers to IT occupations and to understand how young people perceive the culture embedded in this occupational community as they become part of it.

The authors take a sequential mixed methodology approach composed of two phases, one qualitative and the other quantitative. In the first phase of the study, nine focus groups and 27 interviews with college students were conducted to learn about the challenges and barriers that they personally experienced while becoming part of the IT occupational community. The second phase used results from the first qualitative phase to design a survey instrument that was administered to 215 IT college students who were currently or had recently been involved in IT work experience to evaluate their cultural fit to the IT occupational culture (ITOC) and its influence on their occupational commitment.

The results suggest that women, ethnic minorities and those with less work experience encountered greater difficulty fitting into different dimensions of ITOC. The results also showed that cultural fit is a good predictor of occupational commitment and affective commitment in particular.

An initial survey instrument was developed to measure cultural fit to ITOC. This instrument can be further modified and adapted to be used in the hiring process by HR departments to measure cultural fit to organizational subcultures, such as the one in the IT occupational group.

This paper constitutes an important contribution to the rigor and development of the theory and research of human resources in information technologies.