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This chapter examines the application of exploratory sequential mixed methods design in the context of small accommodation enterprises (i.e., home-stay). This study, therefore, discusses the exploratory sequential mixed methods of data collection and analysis and provides practical illustrations based on a study of small tourism enterprise sustainability practices in Ghana. The findings demonstrate that mixed methods overcome the weaknesses of a mono-method and offer an in-depth understanding of tourism and hospitality phenomena. In addition to providing a practical guide to emerging tourism scholars, the current study highlights the ability of mixed methods to develop emerging practitioners' skills in both qualitative and quantitative data. In conclusion, the exploratory sequential mixed methods design offers pragmatic data collection techniques that are non-existent in mono-methods. Accordingly, it is recommended for exploring research questions when there is limited information and high flexibility is needed.

Despite the increasing discourse on mixed methods (MM) in academic literature, less attention has been focused on its methodological development in the built environment in developing countries. This paper aims to examine the basis and challenges of the application of MM for health-care facilities management (FM) research in Ghana.

This paper adopts autoethnography as its research method, coupled with a scholarly review of methodological literature to position a technical view on the application of mixed methods for health-care FM research in a developing country.

This paper contributes and lends support to the methodological strength of MM as epistemologically coherent and useful for understanding the intricacies of health-care FM. This paper advances the proposition that the nascent stage of FM development in Ghana, paucity of literature, epistemological and axiological considerations underscore the choice of a sequential MM. The attitude of research participants, ethical challenges and time-lapse for data analysis were observed as practical challenges.

Discussion of data integration is excluded.

This paper provides a nuanced understanding of the concept of MM in health-care FM and set forth practical recommendations worthy to enhance the application of MM research.

This paper is among the few focusing on methodological discussion of health-care FM. This paper proposes a framework to guide researchers in the application of mixed methods.

Mixed methods research is an approach for blending quantitative and qualitative data analyses in a single study. It emerged as an alternative to the dichotomy of qualitative and quantitative traditions in the past 20 years. Some strengths of mixed methods research include the ability to generate and test theory, the capability to answer complex research questions, and the possibility of corroborating findings.

We argue the mixed methods approach fits well with comparative education studies because they seek to acquire data to make sound and meaningful comparisons about the experience and performance of education systems in different countries. By nature, comparative education attempts to explain why educational systems vary and to explore how education relates to wider social factors and forces. It consists of both confirmatory and exploratory inquiries that are based on the fundamental belief that education can be improved in all nations. Essentially, the mixed methods approach can adequately support the goals of comparative education studies, with its quantitative components serving the confirmatory objectives and the qualitative components attending to the exploratory end.

In this study, we conducted a survey of articles published between 2000 and 2014 in Comparative Education Review, Comparative Education, and Compare to discern the changes in patterns and preferences of dominant research methods. By surveying the three major journals in the field, we hope to reveal the means by which comparative education is conducted in its constituency. At the very least, we believe our study can provide important reference points for speculation about where comparative education might be headed in terms of methodology and methods.

The job market of library and information professionals has expanded from academic to industrial, special and business libraries. The unique nature of the organizations, their data and clientele demand a different set of competencies. The purpose of this study is to explore the competencies of information professionals from the perspectives of business employers – a comparatively new job place for the library and information management professionals.

Exploratory sequential mixed methods approach was used to meet objectives of this study in two phases. In the first phase, qualitative data was extracted from panel discussion. Themes were extracted from this qualitative data. In the second phase, a questionnaire was designed which was based on qualitative themes. The instrument contained the nine-point Likert type scale and was filled by the business and industry human resource managers. The quantitatively gathered data were analysed while using descriptive and inferential statistical techniques in the Statistical Package for Social Sciences SPSS version 22.

The findings of this study indicate that work coordination, knowledge of intellectual property rights, online searching ability, leadership qualities, trustworthiness and background knowledge of the prospective organizations are the basic competencies required by the business employers.

This study will guide the students on which qualities they are required to obtain to qualify for jobs of information professionals in the current employment sector. Additionally, it will provide guidelines to the continuous education programme designers, prompting them to include in their trainings the vital qualities of candidates required by the current job market.

This is the maiden study that has explored the competencies of library and information management professionals through exploratory sequential mixed methods.

Little is known about the extent to which management and engineering publications dedicated to the study of quality management topics make use of mixed methods, what types of studies have been conducted and how effective mixed methods have been. The aim of the current paper is to analyse how mixed methods have been used in quality management research.

To address this purpose, a bibliometric analysis was conducted of papers using mixed methods designs to investigate quality management issues and published in the SCOPUS database. CiteSpace software was used to assist in the categorisation and mapping process.

Ninety articles were identified and analysed. The results show that mixed methods are mainly used either to compare different perspectives drawn from quantitative and qualitative data or to develop better measurement instruments. Sequential mixes occur more often than concurrent approaches. Moreover, there is a link between the purpose of the study and the approaches followed to combine qualitative and quantitative methods. Yet, the contribution of the use of mixed methods to achieving the aims of the study is not easy to assess as the purposes of using mixed methods are often not clearly stated.

As one of the first papers to examine how qualitative and quantitative methods are being combined in quality management research, this study is expected to contribute to the literature by providing some insights into how mixed methods can be more effectively used in this field.

Intraorganizational knowledge and information sharing are important steps toward more-accessible organizational knowledge. The aim of this study is to qualitatively explore factors that contribute to employees' motivations for sustaining intraorganizational knowledge-sharing behaviors and to examine the impact of these factors in a quantitative study with the Austrian Federal Ministry of Defense. This ministry faces a retirement wave in the next 5–10 years. Intraorganizational knowledge sharing before, during, and following this wave will play a decisive role for the organization in the near future.

An exploratory sequential mixed-methods study was conducted. The study design involved a qualitative study phase with expert interviews and stakeholder workshops (n = 9) and a quantitative study phase based on a cross-sectional online survey with an implicit association test on intraorganizational knowledge sharing (n = 59).

In the qualitative study phase, three main research topics regarding intraorganizational knowledge sharing were identified: employee attitude, organizational support, and specific relational aspects of knowledge transfer, such as reciprocal relationships among employees and opportunities for knowledge exchange. A hierarchical multiple regression analysis revealed that perceived organizational support was the only factor that was a significant predictor of motivation for engaging in knowledge sharing. We also analyzed the data for moderation effects and demonstrated that sociopsychological factors (e.g., the engagement or openness of colleagues to share their knowledge) further strengthened the positive relationship between employees' perceived support and personal willingness to share knowledge.

We conclude that an organizational culture that supports knowledge sharing within the organization is highly relevant for motivating employees to share their knowledge. Practitioners will also benefit from the insights of the various dimensions of employees' willingness to engage in knowledge-sharing behaviors to better design further interventions in organizations.

In accordance with an exploratory sequential mixed-methods approach, we followed a transdisciplinary process in which scientific and practical experiences and knowledge were integrated. For this purpose, interviews and workshops with experts and stakeholders in the organization were conducted. The qualitative findings were incorporated into a quantitative survey and an implicit association test for the employees of the organization. This approach demonstrates a different and more holistic approach to analyzing a real-world problem in the context of a governmental agency in order to investigate the multidimensional and complex topic of intraorganizational knowledge sharing.

Through the lens of professional identity (PID), this paper aims to examine what matters to women when reflecting on their professions in hospitality. The purpose of this examination is to understand to what extent these PIDs are shared among women in hospitality and to include women’s voices into the workforce.

An exploratory sequential mixed-methods approach was used. The qualitative step included 24 in-depth interviews with female middle and senior managers in hotel management in the USA. The results of the interviews informed the design of a quantitative survey completed by 330 women hospitality professionals in managerial and non-managerial positions in the USA.

The qualitative analysis derived three super-ordinate and ten sub-themes. These themes were then quantitatively measured for validity and generalization. The mixing of qualitative and quantitative data indicated the relevance of work environment, social evaluation and perception of work and demonstrating professional competence as a woman in hospitality as significant drivers in establishing women’s hospitality PIDs.

This paper is the first to address women hospitality professionals through the lens of PID. By providing a different gender perspective on hospitality PID, this paper contributes to the expansion of diversity, equity and inclusion research and practices.

In this study, the authors examine how a retail bank's positive, neutral, and negative prior ethical reputations influence customers' perceptions and attitudes, leading to their bank selection decisions and also analyze whether there is a trade-off between a bank's negative prior ethical reputation and its functional benefits to customers.

The authors followed a sequential exploratory mixed-methods research design with two studies. The authors’ first study was qualitative, in which the authors conducted interviews and focus groups with banking customers in Pakistan. The results of this study were used to generate hypotheses that were tested in the second study using random choice experiments.

The results indicate that positive and neutral prior ethical reputations do not significantly impact customers' choices; however, a negative reputation does affect selection. The results also show that customers punished negative reputations, even when the associated functional benefits were higher than the alternatives.

This is one of the first mixed-methods studies in an emerging economy context to consider the impact of ethical reputation on consumer orientation and bank selection decisions.

Organizations use Industry 4.0 readiness models to evaluate their preparedness prior to the implementation of Industry 4.0. Though there are many studies on Industry 4.0 readiness models, the dimensions of readiness differ. Besides, there is no study empirically validating the readiness model in different sectors or types of organization. The purpose of this study is to conceptualize the dimensions of the Industry 4.0 readiness model and subsequently evaluate the criticality of these dimensions in manufacturing, service, small and medium-sized enterprises (SMEs) and large enterprises (LEs).

The study uses an exploratory sequential mixed method design. In phase one, 37 senior managers participated through a purposive sampling frame. In phase two, 70 senior managers participated in an online survey.

The results of the study indicated that the Industry 4.0 readiness model has 10 dimensions. Further, the criticality of the dimensions as applied to different sectors and type of organizations is put forward. This study will help manufacturing, services, SMEs and LEs to evaluate Industry 4.0 readiness before commencing the deployment of Industry 4.0.

The findings can be very beneficial for Industry 4.0 practitioners and senior managers in different organisations to understand what readiness dimensions need to be considered prior to implementation of Industry 4.0 technology.

This paper makes an attempt to conceptualize the Industry 4.0 readiness model and utilizes an exploratory mixed method for critically evaluating the dimensions related to the model.

This study aims to construct a scale and identify the factors that might affect the implementation of gamification and Bloom's Digital Taxonomy-based assessment of students' learning, guided by the Goal-Setting Theory.

This study used a sequential exploratory mixed-methods design where data were collected qualitatively via interviews (n = 18) and field notes. Quantitative analysis was then applied via questionnaires (n = 96).

Four major themes emerged following thematic analysis of the observation notes and interview data: learning engagements; understandable learning goals; friendly competitions; and interactive learning feedback. A scale consisting of 32 items was developed based on the qualitative data. The quantitative data were then collected to evaluate the scale's factor structure using maximum likelihood exploratory factor analysis with Promax factor rotation. The final version of the scale had 29 items. The authors verified the alpha coefficients for each element and the entire hierarchy, ranging from 0.94 to 0.98 for the factors. The total scale was determined to be 0.96, and the Item Content Validity Index was considered valid.

The scale developed in this study is expected to inform future research and guide educators who wish to incorporate contemporary digital pedagogies in a different context. This study could also be beneficial to researchers who aspire to perform research on Goal-Setting Theory in the educational context.