bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emerging opportunities for information systems researchers to expand their PLS-SEM analytical toolbox
Authors: Cepeda Gabriel , Roldán José L. , Sabol Misty , Hair Joe , Chong Alain Yee Loong 
Published: May 2024

Purpose Rigorous applications of analytical tools in information systems (IS) research are important for developing new knowledge and innovations in the field. Emerging tools provide building blocks for future inquiry, practice and innovation. This article summarizes the findings of an analysis of the adoption and reporting of partial least squares structural equation modeling (PLS-SEM) analytical tools by Industrial Management & Data Systems authors in the most recent five-year period.Design/methodology/approach Selected emerging advanced PLS-SEM analytical tools that have experienced limited adoption are highlighted to broaden awareness of their value to IS researchers.Findings PLS-SEM analytical tools that facilitate understanding increasingly complex theoretical models and deliver improved prediction assessment are now available. IS researchers should explore the opportunities to apply these new tools to more fully describe the contributions of their research.Research limitations/implications Findings demonstrate the increasing acceptance of PLS-SEM as a useful alternative research methodology within IS. PLS-SEM is a preferred structural equation modeling (SEM) method in many research settings and will become even more widely applied when IS researchers are aware of and apply the new analytical tools.Practical implications Emerging PLS-SEM methodological developments will help IS researchers examine new theoretical concepts and relationships and publish their work. Researchers are encouraged to engage in more complete analyses by applying the applicable emerging tools.Originality/value Applications of PLS-SEM for prediction, theory testing and confirmation have increased in recent years. Information system scholars should continue to exercise sound practice by applying these new analytical tools where applicable. Recommended guidelines following Hair et al. (2019; 2022) are included.
Pose detection and docking control for autonomous dynamic docking mechanism with non-cooperative targets
Authors: Zhan Gan , Chen Zhihua , Zhang Zhenyu , Zhan Jigang , Yu Wentao , Li Jiehao 
Published: May 2024

Purpose
This study aims to address the issue of random movement and non coordination between docking mechanisms and locking mechanisms, and proposes a comprehensive dynamic docking control architecture that integrates perception, planning, and motion control.

Design/methodology/approach
Firstly, the proposed dynamic docking control architecture uses laser sensors and a charge-coupled device camera to perceive the pose of the target. The sensor data are mapped to a high-dimensional potential field space and fused to reduce interference caused by detection noise. Next, a new potential function based on multi-dimensional space is developed for docking path planning, which enables the docking mechanism based on Stewart platform to rapidly converge to the target axis of the locking mechanism, which improves the adaptability and terminal docking accuracy of the docking state. Finally, to achieve precise tracking and flexible docking in the final stage, the system combines a self-impedance controller and an impedance control algorithm based on the planned trajectory.

Findings
Extensive simulations and experiments have been conducted to validate the effectiveness of the dynamic docking system and its control architecture. The results indicate that even if the target moves randomly, the system can successfully achieve accurate, stable and flexible dynamic docking.

Originality/value
This research can provide technical guidance and reference for docking task of unmanned vehicles under the ground conditions. It can also provide ideas for space docking missions, such as space simulator docking.
Leveraging strategic network resources into firm performance: the roles of dynamic capabilities and platform monitoring
Authors: Sheng Lixin , Wu Jianlin , Gu Jibao 
Published: May 2024

Purpose
Drawing from the resource-based view (RBV), this study aims to develop a parsimonious model in the context of digital platforms that links strategic network resources (SNR) and firm performance through considering dynamic capabilities (DC) as important mediating mechanisms. In addition, we also investigate how platform monitoring shapes the relationship between SNR and DC.

Design/methodology/approach
This study uses the survey data from 162 firms in eastern China.

Findings
The findings indicate that both two DC dimensions (i.e., sensing and reconfiguring) significantly mediate the relationship of SNR-performance. Moreover, platform monitoring positively moderates the relationship of SNR and sensing as well as SNR and reconfiguring.

Originality/value
With these findings, this study advances SNR and digital platform research and provides insights into how to transform SNR into superior performance through DC.
Prediction of the performance of halal food industry using a system dynamics simulation model
Authors: Susanty Aries , Puspitasari Nia Budi , Rosyada Zainal Fanani 
Published: May 2024

Purpose
This study aims to develop a system dynamics (SD) simulation model to forecast the performance of the Indonesian halal industry to verify whether decision-making has been properly executed to increase the contribution of the success factors.

Design/methodology/approach
This study establishes a SD-based model using three subsystems, namely, the halal assurance and certification process, the government and the export–import subsystem.

Findings
The best scenario is the third scenario or the combined scenario of providing facilities to accelerate the micro-, small- and medium-sized enterprises (MSMEs), carrying out halal certification, reducing the time for the certification process, increasing the number of the halal auditor and increasing the awareness from enterprises (both MSMEs and large enterprises) to carry out halal certification because of the internal and external motivations.

Research limitations/implications
First, the demand for certification of the type of food product is acquired using the number of SMEs and large companies. Second, the model does not include the government budget as a constraint.

Practical implications
This study provides essential insights into implementing the best policies that can increase the performance of the halal industry.

Social implications
This study revealed that relevant policy scenarios could be built after simulating and analyzing each scenario’s effect on the halal industry’s performance.

Originality/value
This study will enrich the scientific insight related to institutional theory and resource-based view, as those theories identify success factors associated with the performance of the halal food industry. This study will also enrich the scientific insight related to system dynamic methodology, as it is used to model the performance of the halal industry.
The intersection of faith and tourism: an exploratory study on halal tourism motivations among Indian millennials
Authors: Kalyan Preeti , Ekka Punit Moris 
Published: May 2024

Purpose
This study aims to explore the motivations of emerging market millennial Muslims to partake in halal tourism, a developing sector of the travel industry that caters to the religious practices of Muslim tourists.

Design/methodology/approach
This study is qualitative in nature. In-depth interviews were conducted with millennials aged 25–40 in India to gain an understanding of the factors that influence their decision-making and travel behaviour. Further, thematic analysis was used to analyse the data.

Findings
The findings emphasise the intricate interplay between faith, cultural and social factors in millennial Indians’ motivations for halal travel. The study found that religious motivations, such as the desire to fulfil religious duties and participate in spiritual experiences, were significant factors in halal tourism. Social motivations, such as the desire to interact with other Muslims and strengthen family ties, also played a significant role. The study also highlighted the importance of environmental sustainability and conservation efforts in the decision-making process of Indian millennials when choosing halal travel options.

Originality/value
This study contributes to the literature on halal tourism by exploring the motivations of emerging-market millennial Muslims. The study is original in its focus on the Indian context and the inclusion of sustainability and conservation efforts in the analysis of motivations for halal tourism.
Demystifying the product attribute nexus: illuminating webrooming behavior in emerging fashion industry
Authors: Lavuri Rambabu , Gopi Rajendra Kumar 
Published: May 2024

Purpose
This study aims to evaluate the impact of product complexity, product involvement and product diagnosticity on shaping webrooming behavior in emerging fashion retailing, with product knowledge acting as a moderator and information processing, and uncertainty reduction theory contributing as the theoretical foundation.

Design/methodology/approach
In total, 371 responses were collected from fashionable consumers who had recently purchased fashion products via a purposive sampling approach, and the data were analyzed using structural equation modeling and PROCESS macro.

Findings
The results illustrated that product complexity had a significant impact on product involvement and product diagnosticity, and consumer attitude. Attitude, in turn, had a favorable impact on webrooming behavior. Likewise, product diagnosticity and product involvement had a positive mediating association between product complexity and consumer attitude. Product knowledge significantly moderated the relationship between product complexity, product involvement, and consumer attitude, but it exhibited a negative moderation association between product complexity, product diagnosticity, and attitude.

Originality/value
This study represents a novel research endeavor, shedding light on webrooming from the perspective of product attributes in fashion retailing. It contributes to the growing body of literature on fashion marketing by analyzing the rapidly evolving phenomena of webrooming behavior within the multichannel context of the fashion industry.
Evolutionary sensemaking: a managerial metacognitive dynamic capability to reduce information asymmetry
Authors: Kulkarni Subodh , Cristofaro Matteo , Ramamoorthy Nagarajan 
Published: May 2024

PurposeHow can managers reduce information asymmetry in dyadic manager-external stakeholder relationships in a complex and evolving environment? Addressing this question has significant implications for firm survival, growth, and competitive advantage.Design/methodology/approachWe have adopted a multiparadigm approach to theory building, known as metatriangulation. We integrate the dynamic capabilities, sensemaking, and evolutionary theory literatures to theorize how managers can relate to stakeholders in a complex and evolving environment.FindingsWe propose, via a conceptual framework and three propositions, “evolutionary sensemaking” as the managerial metacognitive dynamic capability that helps managers hone their understanding based on the evolutionary changes in the stakeholder’s interpretations of information quality preferences. The framework unfolds across three evolutionary stages: sensing preferences' variation of the stakeholder, seizing preferences, and transforming for complexity alignment and retention. The propositions focus on managing complexity in stakeholder information quality preference, employing cognitive capabilities to simplify, interpret, and align interpretations for effective information asymmetry reduction.Practical implicationsTo develop the metacognitive dynamic capability of evolutionary sensemaking, managers need to train for and foster the underlying complex cognitive capabilities by enhancing their (1) perception and attention skills, (2) problem-solving and reasoning skills, and (3) language, communication, and social cognition skills, focusing specifically on reducing the complexity embedded in stakeholder cognition and diverse stakeholder preferences for information quality. Contrary to the current advice to “keep things simple” and provide “more” information to the stakeholders for opportunism reduction, trust-building, and superior governance, our framework suggests that managers hone their cognitive capabilities by learning to deal with the underlying complexity.Originality/valueThe proposed framework and propositions address research gaps in reducing information asymmetry. It enriches the dynamic capabilities literature by recognizing complexity (as opposed to opportunism) as an alternative source of information asymmetry, which needs to be addressed in this stream of research. It extends the sensemaking literature by identifying the complexity sources – i.e. stakeholder preferences for diverse information quality attributes and the associated cognitive preference interpretation processes. The article enhances evolutionary theory by delving into microprocesses related to information asymmetry reduction, which the existing literature does not thoroughly investigate.
Geopolitical risk and tourism in Turkey
Authors: Tütüncü Asiye 
Published: May 2024

PurposeThe purpose of this paper is to show the effect of Turkey's geopolitical risk on the number of international tourist arrivals to the country. When Turkish economy in 2019 is analyzed, it is seen that the share of tourism in national income is 11%. For this reason, national economy is significantly affected by changing of the number of international tourist arrivals. Security problems are an important variable affecting tourist arrivals.Design/methodology/approachThe paper focused on secondary data for the period 2000–2019 for macroeconomic variables. Accordingly, the number of international tourist arrivals was added as a dependent variable, geopolitical risk as an independent variable, gross domestic product (GDP) and economic freedom index as control variables and inflations as an external variable to the model. The residual augmented least squares–the autoregressive distributive lag (RALS-ADL) cointegration test and the dynamic ordinary least squares (DOLS) coefficient estimator were used. It allows for more robust results to be obtained when the residues do not have a normal distribution.FindingsThe RALS-ADL cointegration test result shows that there is a cointegration relationship between variables at a 1% significance level. Moreover, the DOLS coefficient estimator results indicate that an increase in economic freedom and GDP increase the number of international tourists, whereas an increase in the Geopolitical Risk Index and inflation decreases the number of international tourism arrival. It can be said that tourists consider the security and economic stability of the host country when making tourism decisions.Originality/valueTurkey is one of the most risky developing countries, as well as one of the most popular travel destinations. When the literature is examined, it has been found that studies for Turkey usually determine the relationship between the variables for a short period of time. However, to ensure sustainable growth and environment of confidence, the long-run relationship between variables should be determined so that policymakers can make more impactful decisions. Therefore, the aim of this study is to make a literature contribution, taking into account the long-term effects. In addition, unlike other studies, this study fills the gap in literature using the RALS-ADL cointegration test, which produces robust estimators.
Formulation analysis and follow-up study of multi-turn configuration for performance enhancement of MEMS piezoresistive pressure sensor utilized for low-pressure measurement applications
Authors: Kanekal Dadasikandar , Sabhapandit Eshan , Jindal Sumit Kumar , Patil Hemprasad Yashwant 
Published: May 2024

Purpose
The purpose of this research is to study the performance of piezoresistive pressure sensors using polysilicon as the piezoresistive material, which is typically used to measure pressure in high-temperature environments.

Design/methodology/approach
The performance of this sensor is enhanced by studying the influence of multi-turn configuration at which the piezoresistors are arranged. Different configurations are studied and compared by laying down their analytical solution.

Findings
The validation of analytical results is accomplished through finite element analysis using the software COMSOL Multiphysics. The best configuration, which uses a partial triple-turn configuration, was able to achieve a sensitivity of 116.00 mV/V/MPa over a simulated pressure range of 0 to 500 KPa.

Originality/value
The literature shows the study of single-turn and double-turn meander-shaped configuration of micro-electromechanical systems piezoresistive pressure sensor but multi-turn meander-shaped configuration using a square silicon diaphragm has not been reported. Its study has reflected promising results than its counterparts based on key performance parameters such as sensitivity and linearity and are more effective to be used for automotive, aviation, biomedical and consumer electronics applications.
Role of biosensors and nanomaterials in the detection of adulterants (melamine and urea) in milk and milk products
Authors: Venkatachalapathi Shyamala , Shankararajan Radha , Ramany Kiruthika 
Published: May 2024

Purpose
Milk is often referred to as the ultimate food because it meets the nutritional needs of infants, children and adults alike. It is a rich source of protein, fat, sweetness, vitamins and minerals. Because of its widespread usage as a healthy dairy product, the issue of milk adulteration is of global significance. The increasing frequency of fraudulent methods in the dairy business raises concerns about its purity and quality.

Design/methodology/approach
A study was conducted and reviewed that looked at several approaches for detecting milk adulteration during the past 15 years. This study examines the current state of research and analyzes recent advances in development.

Findings
There are ways and technology available that can effectively put an end to the abhorrent practice of milk adulteration.

Originality/value
This research takes a unique approach, focusing on the application of milk adulteration. It provides an overview of milk adulteration detection and investigates the effectiveness of biosensors in identifying common milk adulterants.
Initiating and sustaining partnerships between research and practice: Lessons learned from school and district leaders
Authors: Lentz Arielle K. , Ramirez Alexus G. , Pickett Amanda , Purinton Annastasia B. , Farley-Ripple Elizabeth N. 
Published: May 2024

PurposeMany researchers partner with schools but may be unfamiliar with practices for initiating contact and sustaining relationships with school leaders. Partnering with schools requires significant effort from the researcher to nurture communication and trust. This can pose challenges for researchers who are new to the field, have relocated to a new university or need to rebuild relationships due to transitions in school staffing.Design/methodology/approachIn this mixed-methods study, we interviewed and surveyed school and district leaders in Delaware to learn how researchers can best communicate and form relationships with schools and districts.FindingsWe found no singular best method exists to initiate contact with schools and districts. Rather, researchers should consider the unique needs of the local context. Leaders’ decision to participate in research was most influenced by their own interest in the research topic, alignment with schools’ needs and researchers’ willingness to build a relationship with the local education agency.Originality/valueDespite broad acknowledgment about the importance of school–university partnerships, few studies directly engage educators in discussing their goals, preferences and needs when working with researchers. We sought to formalize an understanding of best practices researchers can consider when initiating contact and building relationships with schools, directly from the perspective of school and district leaders. Developing these understandings from practitioners ensures the information authentically represents the perspectives of those who researchers seek to connect with, rather than assumptions of the researcher.
Long‐term climate and hydrologic regimes shape stream invertebrate community responses to a hurricane disturbance
Authors: Strickland Bradley A. , Patrick Christopher J. , Carvallo Fernando R. , Kinard Sean K. , Solis Alexander T. , Reese Brandi Kiel , Hogan J. Derek 
Published: May 2024

Abstract

Disturbances can produce a spectrum of short‐ and long‐term ecological consequences that depend on complex interactions of the characteristics of the event, antecedent environmental conditions, and the intrinsic properties of resistance and resilience of the affected biological system.

We used Hurricane Harvey's impact on coastal rivers of Texas to examine the roles of storm‐related changes in hydrology and long‐term precipitation regime on the response of stream invertebrate communities to hurricane disturbance.

We detected declines in richness, diversity and total abundance following the storm, but responses were strongly tied to direct and indirect effects of long‐term aridity and short‐term changes in stream hydrology. The amount of rainfall a site received drove both flood duration and flood magnitude across sites, but lower annual rainfall amounts (i.e. aridity) increased flood magnitude and decreased flood duration. Across all sites, flood duration was positively related to the time it took for invertebrate communities to return to a long‐term baseline and flood magnitude drove larger invertebrate community responses (i.e. changes in diversity and total abundance). However, invertebrate response per unit flood magnitude was lower in sub‐humid sites, potentially because of differences in refuge availability or ecological‐evolutionary interactions. Interestingly, sub‐humid streams had temporary large peaks in invertebrate total abundance and diversity following recovery period that may be indicative of the larger organic matter pulses expected in these systems because of their comparatively well‐developed riparian vegetation.

Our findings show that hydrology and long‐term precipitation regime predictably affected invertebrate community responses and, thus, our work underscores the important influence of local climate to ecosystem sensitivity to disturbances.