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This research investigates factors affecting the intention to sort waste. Specifically, this research aims to develop a waste-sorting intention model by extending the theory of planned behavior (TPB) model and to test the model to ensure the model's goodness-of-fit, validity and reliability.

This research used a quantitative research methodology. Data were collected from 460 respondents using an online questionnaire. Some statistical analyses were performed to analyze the data: descriptive statistics, factor analysis, confirmatory factor analysis-structural equation modeling (CFA-SEM), SEM and Cronbach's alpha analysis.

The result shows that the intention to sort waste was directly affected by attitude, subjective norms, perceived behavioral control (PBC), moral obligation and facility support. Environmental concerns, waste-sorting knowledge and time availability indirectly influenced the intention to sort waste. The testing indicated that the proposed model was fit, valid and reliable.

The model provides a more comprehensive understanding of waste-sorting intention. The central and local governments can use the results to encourage waste-sorting intention in the community.

This research is believed to be the first study to develop and test the waste-sorting intention model that extends the TPB model by incorporating moral obligation, facility support, policy and regulation support, environmental concerns, waste-sorting knowledge and time availability into the traditional TPB model.

Sorting is a very important algorithm to solve problems in computer science. The most well-known divide and conquer sorting algorithm is quicksort. It starts with dividing the data into subarrays and finally sorting them.

In this paper, the algorithm named Dual Parallel Partition Sorting (DPPSort) is analyzed and optimized. It consists of a partitioning algorithm named Dual Parallel Partition (DPPartition). The DPPartition is analyzed and optimized in this paper and sorted with standard sorting functions named qsort and STLSort which are quicksort, and introsort algorithms, respectively. This algorithm is run on any shared memory/multicore systems. OpenMP library which supports multiprocessing programming is developed to be compatible with C/C++ standard library function. The authors’ algorithm recursively divides an unsorted array into two halves equally in parallel with Lomuto's partitioning and merge without compare-and-swap instructions. Then, qsort/STLSort is executed in parallel while the subarray is smaller than the sorting cutoff.

In the authors’ experiments, the 4-core Intel i7-6770 with Ubuntu Linux system is implemented. DPPSort is faster than qsort and STLSort up to 6.82× and 5.88× on Uint64 random distributions, respectively.

The authors can improve the performance of the parallel sorting algorithm by reducing the compare-and-swap instructions in the algorithm. This concept can be used to develop related problems to increase speedup of algorithms.

The purpose of this paper is to explore informational structures producing and organising the construction of waste sorting in Sweden. It shows how the issue is constructed by it being searched for in Google and how this contributes to the specific informational texture of waste sorting in Sweden. It is guided by the following questions: who are the main actors and which are the central topics featuring in Google results on popular, suggested searches for waste sorting in Sweden? What do the link relations between these tell the author about the issue space that is formed around waste sorting in Sweden? How is the construction of the notions of waste sorting and waste shaped in the information available through Google’s features for related and other relevant searches?

Waste sorting is discussed as a practice structured along moral rules and as a classification exercise. The study brings together two types of material, results from searches carried out in Google and lists of Google query suggestions for relevant search terms. These are analysed with a mixed method approach, uniting quantitative network analysis and qualitative content analysis of query suggestions. A sociomaterial approach theoretically grounds the analysis.

Waste sorting in Sweden emerges as an issue that is characterised by dense networks of rules and regulation, focused in public authorities and government agencies, which in turn address consumers, waste management businesses and other authorities. Search engine use and waste sorting in Sweden are shown to be joined together in various mundane everyday life practices and practices of governance that become visible through the search engine in form of search results and suggested searches. The search engine is shown to work as a fluid classification system, which is also created and shaped by its use.

The study offers a novel methodological approach to studying the informational structures of an issue and of its shaping through it being searched for. The sociomaterially grounded analysis of Google as a fluid classification system is original.

Qualitative researchers and information practitioners often investigate questions that probe the underlying mental models, nuanced perspectives, emotions and experiences of their target populations. The in-depth qualitative interview is a dominant method for such investigations and the purpose of this paper is to demonstrate how incorporating hybrid card-sorting activities into interviews can enable deeper participant reflections and generate rich data sets to increase understanding.

Following a review of relevant literature, the case illustration presented is a grounded theory study into the student-researcher information experience with personal academic information management. This study uses hybrid card sorting within in-depth, semi-structured interviews, a unique adaptation that extends multi-disciplinary awareness of the benefits of card-sort exercises for qualitative research.

Emerging from diverse fields, ranging from computer science, engineering, psychology and human–computer interaction, card sorting seeks to illuminate how participants understand and organise concepts. The case illustration draws largely on methods used in interaction design and information architecture. Using either open or fixed designs, or hybrid variations, card-sort activities can make abstract concepts more tangible for participants, offering investigators a new approach to interview questions with the aid of this interactive, object-based technique.

Opening with a comprehensive review of card-sort studies, the authors present an information experience case illustration that demonstrates the rich data generated by hybrid card sorting within qualitative interviews, or interactive interviews. This is followed by discussion of the types of research questions that may benefit from this original method.

This chapter shows how different recycling locations influence closed-loop supply chain (CLSC) cost and carbon dioxide equivalents (CO₂e), as well as reveal competitive recycling and manufacturing locations, including relevant distance- and location-related factors, for achieving very low cost and CO₂e CLSCs supporting circular economy. Exploratory data analysis is used to analyze results from simulations based on empirical data and market rates relating to textile and clothing CLSCs. The results show that most very low-cost and CO₂e CLSCs consist of fabric and garment manufacturing located at the same or nearby locations, and whose labor costs and electricity CO₂e are low, whether fiber recycling facilities are located in proximity to used garment sorting facilities or not. Scenario and sensitivity analyses of important cost and CO₂e factors for recycling location competitiveness reveal that increasing used garment prices makes locations with high import duties lose competitiveness, and that varying water freight CO₂e changes comparative location competitiveness.

This study aims to evaluate the usability and information architecture of the digital library (DL) website of the National Library and Archives of Iran (NLAI).

This applied study used an exploratory mixed method, card sorting. Data were collected by interviewing, observation, usability test and card sorting. By interviewing users about problems of the DL, eight tasks were predefined and users’ problems in the path were identified. Their satisfaction of the tasks and the usability rates were measured via a questionnaire. Card sorting was done to inform on the information organization of the website elements. The study population included all users of the DL of the NLAI in two groups: ten initiator users (public users) and ten expert users (librarians). SPSS was used for analysing the usability test quantitative data. MaxQda was applied for analysing interview-driven qualitative data. Qualitative content analysis, categorization (data organization and grouping) and determining main and secondary codes were applied as well. The sort optimal application was used for analysing card sorting data in the form of similarity matrix and dendrogram. For validating qualitative findings, triangulation was used. The internal reliability of the used questionnaire amounted to a = 0.87

Regarding the assigned tasks, new initiator users by consuming 367.67 s for registering and new expert users by consuming 403 s spent the most time. Task 2 ranked first in being incomplete among 40% of initiator users and Task 3 ranked first by 30% of incompleteness. Expert users had more unsuccessful attempts. Task 5 with the mean rate of 3.35 and Task 8 with the mean rate of 2.25 were the most difficult and the easiest tasks, respectively. Some usability components were rated lower than the moderate point. Only 30% of initiator users and 10% of expert users were satisfied with the website. A total of 12 categories and 452 codes were identified as main problems of the DL. The problems related to a vague perception of concepts and labels with 90 repetitions and digital source display with six repetitions ranked as the first and the last problems in working with the DL, respectively. The sort optimal package produced the card sorting results as a matrix similarity and a dendrogram. Card sorting reflected some changes in organizing information items. Interviews after card sorting emerged some new groups to be included, such as links to other digital libraries, shared databases in the organization and frequently asked questions.

The library’s website should be designed in a manner so that it can satisfy users with different traits. As the information technologies are increasingly developing, the importance of such a design increases for better service provision and effective competition.

Travel interests of tourists during pandemics and outbreaks are reduced due to the prevalence of fear. It induces lifestyle changes, which may hinder efforts to recover the tourism value chain during post-COVID-19 lockdowns. Subscribing to domestic travel and domestic tourism is deemed to mitigate fear and gradually reopen the tourism industry. Although a crucial initiative, evaluating the perceived degree of exposure of tourists to COVID-19 in tourist sites operating under domestic tourism has not been fully explored in the emerging literature, which forms the main departure of this work.

The problem domain is addressed by adopting multiple criteria sorting method – the VIKORSORT. To demonstrate such application, with 221 survey participants, 35 tourist sites in a province in the central Philippines struggling to revive the tourism industry are evaluated under six attributes that characterize tourists' exposure to COVID-19. To assess its efficacy, the performance of the VIKORSORT is compared to other distance-based multiple criteria sorting methods (i.e. TOPSIS-Sort and CODAS-SORT).

Results show that proximity and volume of tourist arrivals are considered on top of the priority list of attributes. The use of VIKORSORT yields the assignment of 27 sites to the “moderate exposure” class, and eight under the “high exposure” class, with no tourist site assigned to the “low exposure” class. Sorting the tourist sites reveals some observations that tourists prefer sites (1) with open spaces, (2) with activities having limited group dynamics, (3) that are nature-based, and (4) with tourist arrivals that are not relatively high, with enough land area to practice social distancing. In addition, the assignments of the VIKORSORT with TOPSIS-Sort and CODAS-SORT are consistent at least 90% of the time, demonstrating its efficacy in addressing multiple criteria sorting problems.

This work provides an integrative approach in evaluating tourist sites in view of tourism recovery during pandemics. The findings offer crucial insights for the primary stakeholders (i.e. government, tourist operators, and tourists) in planning, resource allocation decisions, and policy formulation. Policy insights are offered, as well as avenues for future works.

The purpose of this article is to explore possible contributions to the development of models to define business networks conceptually, and identify and delineate them empirically by integrating concepts and ideas from “market exchange theory” originating in the works of Alderson.

Following a conceptual discussion defining business networks as a type of exchange system, empirical data were used to exemplify and illustrate the theoretical development ideas. From data on 22 business firms collected in 1999‐2001 in the form of transcribed interviews and other print documentation, a business network as a type of exchange system was identified comprising five business entities. This case serves as illustration to the remainder of the theoretical discussions throughout the paper.

Based on a conceptualisation of business networks as a type of exchange system and a notion of interaction encompassing exchange processes stemming from both market exchange theory and social exchange theory, it is suggested that business networks can be more consistently identified and delineated empirically using this theoretical base.

The empirical case is merely illustrative, and more extensive empirical work is needed to further test the ideas of business networks as a type of exchange system. The implications to the study of markets‐as‐networks are that these ideas can be used as a basis for identification, delineation and analysis of business networks.

This paper extends Alderson's work by suggesting a fourth type of transformation: transformation in ownership, as well as by developing a typology with five resource types in the exchange system. Furthermore, it provides a conceptual tool that can be used by researchers to identify, delineate and analyse business networks and incorporates market exchange theory.

The purpose of this paper is to provide a decision support tool for construction waste on‐site to achieve better construction and demolition waste management.

System dynamics methodology is adopted for developing the model.

The model of managing construction waste on‐site is established. The interconnections of the main activities are included into the model with focus on planning and management where information about the future trend is for better decision making.

Construction waste generation is dynamic and interactive. Therefore, the model developed can be used as a flexible tool to help practitioners to understand the causes and effects.

Since the model allows the users to fine‐tune the input parameters, it is flexible to adjust the model to better reflect the reality according to different conditions. This is an advantage over other static models.

Efficient and high-accuracy intelligent color and material sorting systems are the main bottlenecks restricting the recycling of waste textiles. The mixing of waste textiles with different colors will make the reconstructed raw material of textile fiber useless or with low quality. In this study, some challenges about the automatic color sorting for waste textile recycling are discussed. A computer vision-based color sorting system for waste textile recycling is introduced, which can classify the required colors well and meet the efficiency requirements of an automatic recycling line.

There are four aspects, (1) two cameras with different exposure times and white-balance parameters are involved for establishing the computer vision system. (2) Two standard color databases with two cameras are constructed. (3) A statistical model to determine the colors of textile samples is presented in which uniform sampling of pixels and mid-tone enhancing techniques are exploited. (4) The experiments with a number of waste textile samples from a factory in Hong Kong are conducted to illustrate the efficiency of the developed system.

The experiments with a number of waste textile samples from a factory in Hong Kong are reported. The total classification accuracy performs good. The research methods and results reported in this study can provide an important reference for improving the intelligent level of color sorting for waste textile recycling.

It is the first time to introduce computer vision technology to a color sorting system for recycling waste textiles, especially in a real recycling factory in Hong Kong. The research methods and results reported in this study also deliver guidance for designing a computer vision-based color sorting system for other industrial scenarios.