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The purpose of this paper is to share the results of the 2019 international interlending survey conducted by the American Library Association, Reference and User Services Association (RUSA), Sharing and Transforming Access to Resources Section (STARS) International Interlibrary Loan (ILL) Committee, the fourth such survey conducted by this group since 2007.

Committee members developed the survey instrument and collected data in Qualtrics. Questions from the 2015 and 2011 instruments were reused to support longitudinal data analysis, and new questions related to improving the sharing of resources across borders were added. The survey was distributed to libraries worldwide via multiple methods, and translations in six of the seven official International Federation of Library Associations and Institutions languages were provided.

Results reveal challenges to engaging in global resource sharing in the areas of discovery and request methods, policies and service models, copyright and licensing, delivery and payment. Strategies to overcome these challenges, as informed by both the survey results and recent literature, are shared. Reinforcing each other, these independently and organically developed solutions illustrate ways to further advance ILL.

The findings can aid ILL practitioners and the organizations to which they belong in improving the sharing of resources across borders. By optimizing this service, libraries can better support researchers in a globalized environment.

The 2019 RUSA STARS survey is the first survey on the topic of international ILL to offer multiple translations complimenting global distribution. It contributes to the literature by offering a broad and updated perspective on current international ILL practices, challenges impeding the sharing of library materials abroad and possible solutions.

The purpose of this paper is to provide preliminary results of the 2015 international interlending survey conducted by the ALA RUSA STARS International Interlibrary Loan Committee and compare these results to those of the survey conducted in 2011.

An international survey was developed using Qualtrics to both gather and analyze the results received after the survey was distributed via listservs and personal contacts.

The 2015 survey’s results generally showed similarities to those in 2011 with most participants both borrowing and lending materials internationally. The differences between the 2011 and 2015 survey are highlighted as are barriers to international interlending.

This study illustrates the most recent survey of international interlending practices with comparison to previous studies and will yield potential methods and activities for improving resource sharing globally.

This study was conducted to examine supply chain discontent in an integrative way.

The organisational economics view is adopted as an approach to reveal multiple sources of discontent which consist of incongruent objectives, disintegrated performance measures, unsynchronised decision‐making, information asymmetry, misaligned incentives, and fragmented business processes. All these sources separately or collectively contribute to reduce the potential of total profits arising from collaboration.

It is argued that to effectively mitigate supply chain discontent, the chain members need to collaboratively design antidotes for discontent. In this paper six antidotes to discontent are proposed, namely mutual strategic objectives, appropriate performance measures, decision synchronisation, information sharing, incentive alignment, and streamlined intercompany business processes. It also shows that previous studies have not addressed supply chain discontent in an integrative way.

This study, therefore, provides a new insight for managers to understand multiple sources of discontent as well as its antidotes.

The purpose of this paper is to examine e-service quality (E-SQ) of online shopping in Pakistan using “E-S-QUAL scale.” Moreover, in this study, the relationship of E-SQ with e-customer satisfaction (E-CS) and e-customer loyalty (E-CL) has been studied.

Following a quantitative research methodology, data were collected from 298 respondents using convenience sampling and survey research design was followed. In order to develop the model and test the hypotheses, structure equation modeling (SEM) was done through AMOS.

Findings indicate that all of the first latent constructs are significant where E-CS and E-CL (dependent variables) are influenced by E-SQ (independent variable). Using SEM, statistically fit structural model was developed on the basis of confirmatory factor analysis. The analysis shows that there is a strong positive relation between E-SQ and E-CS and E-SQ and E-CL.

Asian markets have been identified as the fastest growing e-commerce markets in present era. Similarly, retail sector in Pakistan is booming, at the same time an exponential increase is being observed in the number of internet users and online shopping. It is important for marketers and retailers to explore new horizons and enter the age of e-commerce for expansion of their businesses.

The increasingly wide use of the internet is influencing everything around the globe and these emerging e-commerce trends have tremendously changed the mode of shopping from brick and mortars to e-stores. The study explores the e-commerce and focuses on E-SQ and its impact on E-CS and E-CL in the context of a developing economy, i.e. Pakistan, uncovering the key dimensions and attributes.

The purpose of this study is to adapt the “Behavioral Flexibility Scale for Children with Autism Spectrum Disorder” to Turkish culture and evaluate its psychometric properties.

The Behavioral Inflexibility Scale (BIS), developed by Luc Lecavalier and her colleagues, is used in diagnostic tests for autistic children. The research used a methodological design. Data were collected between March and September 2021. The study included 254 parents of children with autism. Content validity, construct validity and criterion validity were assessed. Reliability was examined using adjusted item-total correlation, Cronbach’s coefficient, composite reliability and split-second reliability.

The Turkish version of the “Behavioral Flexibility Scale for Children with Autism Spectrum Disorder” was found to have good content and criterion validity. The single-factor structure of the scale was confirmed for the Turkish version as a result of confirmatory factor analysis. The Cronbach alpha coefficient of the scale was determined as 0.97, and the item/total correlation coefficients were found to be between 0.544 and 0.807. In the first factor analysis conducted for BIS, the KMO value was 0.958, and in the BTS test results, it was determined that the scales were suitable for factor analysis (X2 = 7,296.05; df = 705; p < 0.001). As a result of the explanatory factor analysis, it was found that the items forming the scale were gathered under a single factor, and the factor loadings varied between 0.564 and 0.822. It was found that the items constituting the scale explained 52% of the variance, and the Pearson correlation coefficient was r = 0.775, p < 0.001.

In this study, there are some limitations that need to be acknowledged. First, the sample that the study is based on was collected from parents from a single city in our country, and therefore, in future studies, it is recommended to use a stratified sampling method to include participants from all regions of the country. Another limitation is that the behavioral flexibility of children and adolescents with autism spectrum disorder (ASD) was assessed only based on the information provided by their parents. This leads to a one-sided evaluation of the results. Therefore, in future studies, it is recommended to include various sources such as special education teachers and attending physicians to assess the behavioral flexibility of children and adolescents with ASD.

The Behavioral Flexibility Scale was found to be a valid and reliable tool that can be used in diagnostic testing in children with ASD.

It is aimed to early identify and intervene in the behavioral problems experienced by autistic children.

The Behavioral Flexibility Scale was found to be a valid and reliable tool that can be used in diagnostic testing in children with ASD.

Due to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.

Survey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.

The results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.

The findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.

The study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.

With the increasing competition among the industries, they remain under pressure as how to select the best set of suppliers for the competitive edge. Often, it has been challenging to develop an effective set of suppliers due to varied and asymmetric mode of criteria. The purpose of this paper is to develop a responsive chain under original equipment manufacturer (OEM).

This study proposes a responsive chain under a two-echelon system (TES) of OEM, which needs to collaborate with a set of suppliers at each echelon through an integrated methodology of AHP and TOPSIS. According to the OEM’s criteria, demands and suppliers’ capacity vary with time, therefore they are not static for a longer period. Hence, supplier selection (SS) problem possesses dynamicity in real practice. For this, MILP is used for finding optimal order quantities based on the optimal ranking at each echelon in the multi-period scenario. Subsequently, sensitivity analysis (SA) is conducted through Taguchi method of parameter design (TMPD) to achieve an optimal ranking in the TES.

This study suggests optimal criteria’s weight, percentage contribution, and flexibility for the suppliers and manufacturers involving through maximum demand strategy at each echelon of OEM. It also provides robust group of suppliers and manufacturers in the TES through optimal ranking and simultaneously in the order allocations. Furthermore, it restricts the number of suppliers and manufactures at each echelon through proposed methodology to obtain the solution in a very short running time.

To validate this model, a real data set for the case of chain conveyor company is used. This adopted methodology can suggest the organization that how the approach should be implemented.