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Statistical methods are important for meaningful analysis, critique and interpretation of results. The current study aims to investigate the use of statistical methods used in LIS research articles produced by Pakistani authors during 2001–2016.

Content analysis method with both the qualitative and quantitative components was used. LIS articles published by Pakistani authors in national and international journals from 2001 to 2016 were selected. The descriptive and inferential statistics were used to analyze the usage of statistical techniques.

The findings show that use of descriptive statistics remained higher as compared to inferential statistics in the LIS research produced by Pakistani authors. However, a visible growth trend in the use of inferential statistical techniques is found. Males are two times more likely to use inferential statistics as compared to female authors. Articles published in foreign journals and impact factor journals used more inferential statistics as compared to local and nonimpact factor journals. Parametric inferential statistics is more popular among Pakistani authors as compared to nonparametric. Faculty was more inclined toward using parametric statistic. The percentage of collaboration was higher in the papers using parametric statistics. Few articles reported the tests to fulfill the assumptions of parametric and nonparametric statistics.

This study can be used to better understand the trends of statistical techniques used in LIS research and authors' orientation in this regard. It will be helpful for future researchers in the selection of appropriate statistical techniques to be used.

The main aim of this paper is to build an approach to analyze the tourist content posted on social media. The approach incorporates information extraction, cleaning, data processing, descriptive and content analysis and can be used on different social media platforms such as Instagram, Facebook, etc. This work proposes an approach to social media analytics in traveler-generated content (TGC), and the authors use Twitter to apply this study and examine data about the city and the province of Granada.

In order to identify what people are talking and posting on social media about places, events, restaurants, hotels, etc. the authors propose the following approach for data collection, cleaning and data analysis. The authors first identify the main keywords for the place of study. A descriptive analysis is subsequently performed, and this includes post metrics with geo-tagged analysis and user metrics, retweets and likes, comments, videos, photos and followers. The text is then cleaned. Finally, content analysis is conducted, and this includes word frequency calculation, sentiment and emotion detection and word clouds. Topic modeling was also performed with latent Dirichlet association (LDA).

The authors used the framework to collect 262,859 tweets about Granada. The most important hashtags are #Alhambra and #SierraNevada, and the most prolific user is @AlhambraCultura. The approach uses a seasonal context, and the posted tweets are divided into two periods (spring–summer and autumn–winter). Word frequency was calculated and again Granada, Alhambra are the most frequent words in both periods in English and Spanish. The topic models show the subjects that are mentioned in both languages, and although there are certain small differences in terms of language and season, the Alhambra, Sierra Nevada and gastronomy stand out as the most important topics.

Extremely difficult to identify sarcasm, posts may be ambiguous, users may use both Spanish and English words in their tweets and tweets may contain spelling mistakes, colloquialisms or even abbreviations. Multilingualism represents also an important limitation since it is not clear how tweets written in different languages should be processed. The size of the data set is also an important factor since the greater the amount of data, the better the results. One of the largest limitations is the small number of geo-tagged tweets as geo-tagging would provide information about the place where the tweet was posted and opinions of it.

This study proposes an interesting way to analyze social media data, bridging tourism and social media literature in the data analysis context and contributes to discover patterns and features of the tourism destination through social media. The approach used provides the prospective traveler with an overview of the most popular places and the major posters for a particular tourist destination. From a business perspective, it informs managers of the most influential users, and the information obtained can be extremely useful for managing their tourism products in that region.

The construction industry is affected by the technologies of Industry 4.0 as the buildings are transforming into complex productions. Integration of innovative technologies, such as virtual reality (VR) and augmented reality (AR), in construction management is an emerging area to increase efficiency and effectiveness. With an aim of determining the current situation, this study evaluates the literature on VR and AR within construction management research.

The methodology of this research is based on descriptive and bibliometric analyses to understand and state the current relations between VR-AR technologies and construction management research. According to the meta-analysis (Preferred Reporting Items for Systematic Reviews and Meta-Analyses [PRISMA]) protocol of reviewing, 143 papers between 2010 and 2021 from Scopus, Web of Science (WoS) and Science Direct have been retrieved, and then analysis has been applied on these papers. Descriptive analysis contains increment of publications throughout the years, rates of papers according to countries and content of the publications. The bibliometric analysis involves the analysis through Excel and VOSviewer: co-occurrence of keywords, country-based, source and citation.

The results of this study emphasize the increasing interest in the adoption of VR-AR technologies in construction management research. As the number of publications has been continuously increased, this trend indicates the strength and growing interest in the topic. Another significant finding is VR-AR implementation studies are mostly based on building information modelling (BIM). In this study, the results of analyses have been discussed in terms of learning, knowledge areas and digital technologies as part of construction management.

This study contributes to providing a significant theoretical reference for the potentials of VR-AR in construction management research. VR-AR technologies mostly attract the interest of researchers from architectural design studies; however, there is a gap to investigate their potentials in terms of construction management. Additionally, this study focuses on the last 11 years, which indicate the latest trends.

The purpose of this study is to present the academic pattern of project-based studies on the Lean Six Sigma (LSS) approach in a comparative manner in the context of Turkey.

Focusing on the context of Turkey, a detailed search was conducted at the National Thesis Center of Turkey, and on Google Scholar between November 28 and December 15, 2021, using the keywords “Lean Six Sigma” and “Lean 6 Sigma” in both Turkish and English. As a result of this search, no conference proceedings on the subject were found. However, 25 postgraduate theses and 19 articles were accessed. It was determined that ten of the 19 articles were produced from these theses. It was observed that nine of the 25 postgraduate theses contained conceptual analyses. At this point, it was concluded that the project-based theses conducted in the context of Turkey provided the necessary representation on the subject. Therefore, the 16 postgraduate theses that had been accessed constituted the sample of the study. These 16 theses were subjected to a comprehensive evaluation with the systematic analysis design, with descriptive content analysis being used as the data analysis tool of the research. In this context, the theses were examined using parameters such as type, number, year, university, institute, department, discipline, original language and title of advisor. Other parameters used were purpose, industry, duration, team, results, tools and techniques of the LSS projects mentioned in the theses.

It was determined that the number of postgraduate theses on LSS was low in number, with only one study having been performed at the doctoral level, and most studies having been produced in 2019. In addition, it was observed that the subject had been studied by different universities, institutes, disciplines and departments with the LSS spreading to different academic disciplines. Most of the relevant theses were written in Turkish, and it has been determined that these theses were mostly carried out under the supervision of academicians with the title of assistant professor. It was also found that the purposes of the theses, the tools used throughout the process and the results obtained were per the LSS spirit. On the other hand, it was determined that the duration of the project and the composition of the team members would vary due to the diversity of features that make the internal dynamics of the projects clear.

The research revealed the academic pattern of the project-based studies on the LSS in the Turkish context. The use of systematic review design and descriptive content analysis as data analysis tools in the research is an important initiative. While the uniqueness of the studies carried out on such a practical subject cannot be discussed, the holistic approach of these studies increases the contribution value of the research. At this point, this study is considered to be especially valuable for an understanding of LSS research in country-specific conditions. In this aspect, it is an aim of the aforementioned research to become a resource for researchers and practitioners interested in LSS, with this research providing a basis for making contextual comparisons in the future.

The healthcare system has been under pressure to provide timely and quality healthcare. The influx of patients in the emergency departments (EDs) is testing the capacity of the system to its limit. In order to increase EDs' capacity and performance, healthcare managers and practitioners are adopting process improvement (PI) approaches in their operations. Thus, this study aims to identify the main PI approaches implemented in EDs, as well as the benefits and barriers to implement these approaches.

The study is based on a rigorous systematic literature review of 115 papers. Furthermore, under the lens of thematic analysis, the authors present the descriptive and prescriptive findings.

The descriptive analysis found copious information related to PI approaches implemented in EDs, such as main PIs used in EDs, type of methodological procedures applied, as well as a set of barriers and benefits. Aiming to provide an in-depth analysis and prescriptive results, the authors carried out a thematic analysis that found underlying barriers (e.g. organisational, technical and behavioural) and benefits (e.g. for patients, the organisation and processes) of PI implementation in EDs.

The authors contribute to knowledge by providing a comprehensive review of the main PI methodologies applied in EDs, underscoring the most prominent ones. This study goes beyond descriptive studies that identify lists of barriers and benefits, and instead the authors categorize prescriptive elements that influence these barriers and benefits. Finally, this study raises discussions about the behavioural influence of patients and medical staff on the implementation of PI approaches.

This study aimed to obtain the study results of the visit increase model by adding the word of mouth (WOM) variable based on the results of research reviews in 2017 and 2019. The research was conducted in the ecotourism area of the south coast of West Java, which is oriented toward the environment’s carrying capacity and improving the community’s economy. Data analysis used descriptive verification using structural equation modeling (SEM), with a total of 302 respondents. The study results obtained descriptive analysis results based on research in 2017 and 2019, which showed no different results. The descriptive analysis results show that tourist travel motivation is considered strong by tourists; tourists have felt impressive tourism experiences. The average image of tourism destinations is considered sufficient. The West Java ecotourism area is quite successful in becoming a positive WOM conversation among most tourists. The intention to revisit is considered insufficient, or tourists have not agreed to return soon. The results of the verification analysis show that all the proposed hypotheses have a significant effect so that the model of increasing tourist visits based on travel motivation and impressive tourism experiences, the destination image that is intermediated by the WOM variable, has an impact on revisiting intention.

The environment surrounding U.S. higher education has changed substantially over the past 40 years. However, we have a limited understanding of what these changes mean for the higher education organizations (HEOs) that occupy this organizational field. In this paper, I use descriptive statistics and multilevel latent class analysis (MLCA) to analyze the financial behaviors of public four-year HEOs from 1986 to 2010 to evaluate how HEOs adapt financially to their changing environments. I advance the current conceptual and empirical understanding of public HEO behaviors by evaluating how public HEOs utilize combinations of revenue and spending streams to accomplish their mission and the extent to which the revenues and spending patterns of these institutions are related. Descriptive results confirm the shift away from state funding toward tuition revenues and the relative stability in spending patterns. MLCA results, which allow for the investigation of how combinations of revenue and spending streams work together, indicate that public HEOs are changing the combinations of revenues they rely on in different ways, revealing multiple specific pathways for how public HEOs adapt to their changing environments. The spending profiles, in contrast, remain stable with only a few HEOs changing their profile over time. I argue that the loose coupling between revenues and spending and discontinuity in their patterns of change over time suggests that public HEOs are able to establish a buffer between their environment and spending or activities that allows them to continue engaging in the same broad set of activities despite environmental changes.

In this chapter, we present a critical assessment of contemporary organization theory variously described as either multiperspectival or fragmented. We argue that analytic philosophy as one of the major tools used for theorizing about organizations has had a major influence on the development of organization theory and largely explains the current state of affairs. At its core, we argue, is a fundamental methodological fissure in analytic philosophy itself: the distinction between descriptive and revisionary methods. The principal focus of descriptive analysis in organization theory is how agents use everyday language in organizational contexts, often by invoking language games. In contrast, revisionary approaches, concerned about the privileging of theories embedded in everyday language, as well as the complexity and ambiguity of ordinary-language use, aim for explicit theory evaluation and greater clarity by recasting ordinary language in formal systems, such as scientific, especially empiricist, theories, characteristic of the mainstream of theorizing about organizations from the 1940s onward. For a number of theoretical and epistemological reasons logical empiricism or positivism is no longer a widely held view either in the philosophy of science or in the organization theory. We examine some critical issues regarding logical empiricist epistemological foundations and propose a methodological naturalistic framework that supports the ongoing growth of knowledge in organization theory, naturalistic coherentism. In developing this new conception of science we thus opt for a revisionary methodology, but one that is beholden to neither the traditional logical empiricist/positivist conception of (organization) science nor the relativism and conservatism of postmodernist theory, widely considered to be the successor of positivist organization theory.

This study conceptualises the construct – green competencies. The concept is in the niche stage and needs further elaboration. Hence, to address the research gap, this study follows the steps proposed by Tranfield et al. (2003). The major part of the study comprises descriptive analysis and thematic analysis. Descriptive analysis of the selected 66 articles was examined with the classification framework, which contains year-wise distribution, journal-wise distribution, the focus of the concept, the economic sector, and dimensions of sustainable development. The paper conducts a thematic analysis of the following research questions. What are the green competencies and their conceptual definition? What are their dimensions?

This paper applies a systematic literature review of green competencies literature, extends the state-of-the-art using the natural resource-based view, and discusses future research directions for academicians and practitioners.

In recent years, there was considerable interest in green competencies (GC), as reflected in the surge of articles published in this genre. This paper asserts that green competencies are a multidimensional construct comprised of green knowledge, green skills, green abilities, green attitudes, green behaviours, and green awareness.

Despite the significance of green competencies, there has been a dearth of study to define the constructs and identify the dimensions. Hence, this study addresses the literature gap by conceptualisation and discusses dimensions of the construct.