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This study is about the expression of sketches in Steven Holl's architectural works. Holl shares his architectural ideas as watercolors with his staff, and he has established an original notational expression for the design process. This study investigates the elements of sketches as a notation method and examines the timeline changes.

Classification will be conducted using KJ method (Kawakita Jiro method), a method for organizing information developed by the Japanese cultural anthropologist Kawakita Jiro. Using the KJ method, this study compiled a list as a table about the pictures, letters, etc. in the sketches and grouped them together in the same attributes. The attributes that were grouped together were identified as elements of the sketches.

As a result, in the early 1970s, Holl used only line drawings for sketches, but since the 1980s, watercolor sketches have been increasingly used. Extracting the elements of sketches, it can divide them into drawing and describing expressions and classify them into three main types of pictorial expressions: Overview, Plan and Concept.

This study has shown that the closer the sketches were to the present, the more they combined elements of a more complex sketch with letters and symbols as well as pictorial expressions. This is the first study to investigate about sketch representations established as notations by Steven Holl. This study identified the elements that make the architectural concept visible through sketches.

Switching behavior is predominantly seen in the consumer buying behavior of the mobile industry. This research aims to identify the factors influencing consumers to switch from their present mobile service provider. The consumer of the mobile industry operates in a dynamic and ever-changing environment that is difficult to predict, so this paper aims to focus on these issues.

The selection of factors was made with the help of qualitative study and quantitative research methods for further findings; with the help of a structured questionnaire, a total of 514 valuable responses were collected to get the results. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.

The finding shows that technology and edge-on-competition (TEC) and pricing have a negative influence on customer switching behavior. The switching cost (SC) is the most significant factor and has a positive impact, while service encounter failure (SEF) also positively impacts switching behavior.

The findings provide important implications for consumers switching brands if they are finding alternative offers that are cost-effective and SEF from service providers

The study of one of the largest mobile markets is learning lessons for other markets around the world. This study will be helpful for mobile service provider companies in their branding and marketing strategies. This study will also be helpful to practitioners, educators and researchers in understanding the consumer behavior of mobile users.

The learning of the largest mobile market will be a great learning lesson for other mobile markets around the world. Consumer behavior will help marketers follow ethical practices and make their strategy so a consumer does not switch brands and remain satisfied with the existing brand.

The study provides unique learning for practitioners, educators and researchers to understand the consumer behavior of mobile users. This will help marketers create factors that stop consumers from switching brands and develop strategies to retain customers.

This paper gives the background to the ISO 18404:2015 standard and explains its rationale. It aims to correct misconceptions and erroneous statements about the standard appearing in the paper by Antony et al. (2021) and to demonstrate the usefulness of the standard in a wide range of application sectors.

A review of recently reported misconceptions and erroneous statements is presented and clarifications are provided. A qualitative interview approach was utilised to obtain the views of leading academics and practitioners familiar with Six Sigma and Lean in a range of sectors and from different parts of the world. This includes the results of a survey for capturing expectations and requirements for the next ISO18404 version.

Clarifications were needed to correct some misconceptions and erroneous statements in recently published work. However, on review, the reports of the interviews in Antony et al. (2021) indicate that most Lean Six Sigma professionals have positive experiences with ISO 18404:2015 and see the advantages of a common standard in helping continuous improvement deployment. Possible causes of some reported negative results are already scheduled to be addressed in the forthcoming review of ISO 18404:2015.

A very real constraint when conducting research into ISO 18404:2015 is to obtain a balanced view of the standard from those who have a vested interest in its continuation and evolution, or not. Whilst the authors cannot claim to be any more objective than Antony et al.’s (2021) authors and commentators, they are, in contrast to that group, highly knowledgeable about the reality of the standard, rather than speculating in ignorance.

A very real constraint when conducting research into ISO 18404:2015 is to obtain a balanced view of the standard which is balanced with respect from those who have a vested interest in its continuation and evolution, or not. Whilst the current authors cannot claim to be any more objective than previous authors, Antony et al.’s (2021) authors and commentators, they are, in contrast to that group, highly knowledgeable about the reality of the standard, rather than speculating in ignorance.

The paper gives a clear description of the ISO standard development process and provides a resource for people to obtain insight into the value or non-value add of a standard in Six Sigma and Lean, and the appropriate details of such a standard. These results can form the basis of a case for the implementation of the standard for those organisations currently trying to decide whether or not to implement it.

One of the existing and commonly used solar energy harvesting devices is the parabolic trough solar collector (PTSC). Because of their ability to operate in low and medium temperatures, parabolic trough concentrators are widely used in power generation plants and industrial process heating applications. Therefore, the investigation of how different operating conditions affect these devices’ overall efficiency has received a great deal of attention in the recent decade. This study aims to enhance the thermal performance of the PTSC and reduce the system cost.

In the novel configuration, a noncirculated nanofluid absorbs solar radiation through a glass wall. The base fluid was synthetic oil (5W30), and the nanoparticles used were copper oxide. The heat captured is immediately absorbed by the water circulating inside the copper tube immersed in the nanofluid. ANSYS FLUENT 15.0 was used for carrying out computational fluid dynamics simulations for two models of single and triple copper tubes. The experimental results obtained from a test rig constructed for this purpose were compared with the numerical outcomes of the single copper tube model.

The findings of the simulation demonstrated that performance was superior for the single copper tube model over the triple copper tube model. The numerical findings of the single copper tube model were compared with the experimental results. The numerical and experimental results differed from 3.17% to 5.6%. Investigations were carried out to study the effects of varying the volumetric flow rate of (20, 40, 60 and 80 L/h) and water inlet temperatures of (300, 315 and 330 K) on the effectiveness and performance of the newly developed model. Additionally, two nanofluid volume fractions of 0.05% and 0.075% were used for investigating their effect on the performance of the novel configuration. According to the findings, the highest thermal efficiency of 55.31% was recorded at 0.075% concentration and 80 L/h volume flow rate.

In this study, a novel direct absorption solar collector configuration using a noncirculated nanofluid was designed to enhance the thermal efficiency of PTSC. This new approach makes it possible to boost the thermal performance of the PTSC and lower the system’s cost.

The purpose of this paper is twofold: first, to present a bibliometric analysis and systematic literature review of industry convergence and value innovation to understand the current research status; second, to provide a coherent theoretical research framework for future research.

This study adopts a two-step analysis approach by combining bibliometric analysis and systematic literature review to explore the research topic of industry convergence and value innovation. Besides, two bibliometric tools, HistCite and VOSviewer, were applied to this study.

This study found that Stefanie Bröring and Fredrik Hacklin are the top two most influential authors among all authors in the sample publications. Technological Forecasting and Social Change is one of the top-ranking journal that often publishes this topic of articles. Germany and the University of Munster are the most influential country and institutions, respectively. Besides, five core research themes were identified based on keywords co-occurrence map, theoretical lenses, factors promoting industry convergence, indicators of industry convergence, the impact of industry convergence and emerging research directions. Based on the above analysis, this paper constructed a theoretical research framework of industry convergence and value innovation.

This paper only draw data from one database – Web of Science – which cannot provide broad coverage of the research topic. Besides, the bibliometric method of this paper is based on high local citation score and high-frequency words, articles in the skirting subjects’ area may not be analyzed.

With the rapid development of technology, such as nanotechnology, radio - frequency identification (RFID), etc., the iterative upgrading of products also comes. As a result, the boundary between industries is gradually blurred, and the phenomenon of industry convergence appears. Therefore, managerial decision-makers are facing challenges of how to respond to the convergence phenomena. From the firm level, firms are facing the problem of value innovation of the existing product, new product development and core competence improvement. Industries are facing the problem of transformation and upgrading. This paper provides certain theoretical insights for both firms and industries to guide the practice accordingly.

This paper is the first to use a bibliometric method to examine the topic of industry convergence and value innovation. In addition, this paper presents an in-depth analysis of this topic and provides a comprehensive theoretical research framework for future study.

This study empirically investigates how ambidextrous innovations and their balancing affect the supply chain financing performance (SCFP) of small and medium-sized enterprises (SMEs), based on signaling theory. Moreover, this study explores the moderating effect of the breadth and depth of digital technology deployment on the relationship between ambidextrous innovations and the SCFP of SMEs.

A mixed-methods design is used, including a qualitative study and a quantitative study. Qualitative data have been collected from six multi-cases in different industries. Questionnaire data have been collected from 259 SMEs in China, and a multiple regression model is used to verify the research hypotheses.

The findings indicate that, in supply chain financing, both exploitative innovation and exploratory innovation are helpful in improving the SCFP of SMEs. For resource-constrained SMEs, a relative balance between exploitative innovation and exploratory innovation can help improve SCFP. The breadth of digital technology deployment can strengthen the relationship between exploitative innovation and SCFP, while the depth of digital technology deployment can weaken the relationship between exploratory innovation and SCFP. In addition, increasing the depth of digital technology deployment strengthens the positive correlation between the relative balance of ambidextrous innovations and SCFP.

To effectively obtain supply chain financing, SMEs can either concentrate their limited resources on a single type of innovation or use relative balance strategies to simultaneously pursue two innovations. In addition, in the process of obtaining supply chain financing by ambidextrous innovations, SMEs should appropriately deploy digital technologies.

This study first deconstructs the impact mechanism of ambidextrous innovation capabilities on SCFP based on signaling theory, and then discusses the balancing effect of ambidextrous innovations on SCFP in the cases of resource-constrained SMEs. This study also goes further and finds the negative moderating effect of digital technology deployment in the process of supply chain financing.

This paper explores the relationship between board interlocks and firm outcomes by reviewing the most recent peer-reviewed articles examining this research theme.

A systematic and bibliometric methodology of assessing 369 peer-reviewed articles from the Web of Science (WoS) database was applied. The study also leverages key R-packages litsearchr and Bibliometrix software to enhance the descriptive and thematic literature analysis to identify gaps and opportunities for new research.

This study confirms a rapid increase in articles on this thematic area, over the last decade, with increasing collaboration occurring among researchers in the United States, Europe, China, South Korea and India. Four core research clusters are identified. The first and largest cluster links interlocked directors to issues related to corporate governance and firm outcomes. The second cluster links social network theory, interlocking directorates and firm outcomes. Smaller emerging research clusters include topics related to ownership structure, board size, political connectedness and impacts on firm outcomes. The final cluster examines the influence of board interlocks on market value and firm innovation.

Interlocked directors can have both positive and negative impacts on a wide variety of firm outcomes. This study places great interest in the selection of new directors, ensuring that the selection has aligned with the needs and interests of the company and disclosures of potential competing interests are declared and considered. Equally important are the governance practices used to monitor directors' behavior and to protect the interest of shareholders and the firm. This is particularly relevant in the internal appointment of interlocked directors to critical positions, such as audit committees or instances where interlocked directors may simultaneously hold CEO or executive leadership positions in other companies.

This paper examines the board interlocks literature related to firm outcomes. Additionally, this review identifies several topics and disciplines which, if pursued, could enrich the literature and promise new avenues for future research.

Background: The annual average daily traffic (AADT) data from road segments are critical for roadway projects, especially with the decision-making processes about operations, travel demand, safety-performance evaluation, and maintenance. Regular updates help to determine traffic patterns for decision-making. Unfortunately, the luxury of having permanent recorders on all road segments, especially low-volume roads, is virtually impossible. Consequently, insufficient AADT information is acquired for planning and new developments. A growing number of statistical, mathematical, and machine-learning algorithms have helped estimate AADT data values accurately, to some extent, at both sampled and unsampled locations on low-volume roadways. In some cases, roads with no representative AADT data are resolved with information from roadways with similar traffic patterns.

Methods: This study adopted an integrative approach with a combined systematic literature review (SLR) and meta-analysis (MA) to identify and to evaluate the performance, the sources of error, and possible advantages and disadvantages of the techniques utilized most for estimating AADT data. As a result, an SLR of various peer-reviewed articles and reports was completed to answer four research questions.

Results: The study showed that the most frequent techniques utilized to estimate AADT data on low-volume roadways were regression, artificial neural-network techniques, travel-demand models, the traditional factor approach, and spatial interpolation techniques. These AADT data-estimating methods' performance was subjected to meta-analysis. Three studies were completed: R squared, root means square error, and mean absolute percentage error. The meta-analysis results indicated a mixed summary effect: 1. all studies were equal; 2. all studies were not comparable. However, the integrated qualitative and quantitative approach indicated that spatial-interpolation (Kriging) methods outperformed the others.

Conclusions: Spatial-interpolation methods may be selected over others to generate accurate AADT data by practitioners at all levels for decision making. Besides, the resulting cross-validation statistics give statistics like the other methods' performance measures.