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The purpose of this study is to investigate the effect of internal and external factors on the accuracy and consistency of the data provided by mobile-embedded micro-electromechanical system (MEMS) pressure sensors based on smartphones currently in use.

For this purpose, sensor type and smartphone model have been regarded as internal factors, whereas temperature, location and usage habits have been considered as external factors. These factors have been investigated by examining data sets provided by sensors from 14 different smartphones. In this context, internal factors have been analyzed by implementing accuracy assessment processes for three different smartphone models, whereas external factors have been evaluated by analyzing the line charts which present timely pressure changes.

The study outlined that the sensor data at different sources have different characteristics due to the affecting parameters. Even if the pressure sensors are used under similar circumstances, data of these sensors have inconsistencies because of the sensor drift originated by internal factors. This study concluded that it was not applicable to provide a common correction coefficient for pressure sensor data of each smartphone model. Therefore, relative data (pressure differences) should be taken into consideration rather than absolute data (pressure values) when developing mobile applications using sensor data.

Results of this study can be used as the guideline for developing mobile applications using MEMS pressure sensors. One of the main finding of this paper is promoting the use of relative data (pressure differences) rather than absolute data (pressure values) when developing mobile applications using smartphone-embedded sensor data. This significant result was proved by examinations applied with in the study and can be applied by future research studies.

Existing studies mostly evaluate the use of MEMS pressure sensor data obtained from limited number of smartphone models. As each smartphone model has a specific technology, factors affecting the sensor performances should be identified and analyzed precisely in terms of smartphone models for providing extensive results. In this study, five smartphone models were used fractionally. In this context, they were used for examining the common effects of the factors, and detailed accuracy assessments were applied by using two high-tech smartphones in the market.

This study aims to investigate the effect of fear sentiment with a novel data set on Bitcoin’s (BTC) return, volatility and transaction volume. The authors divide the sample into two subperiods to capture the changing dynamics during the COVID-19 pandemic.

The authors retrieve the novel fear sentiment data from Thomson Reuters MarketPsych Indices (TRMI). The authors denote the subperiods as pre- and post-COVID-19 considering January 13, 2020, when the first COVID-19 confirmed case was reported outside China. The authors use bivariate vector autoregressive models given below with lag-length k, to investigate the dynamics between BTC variables and fear sentiment.

BTC market measures have dissimilar dynamics before and after the Coronavirus outbreak. The results reveal that due to the excessive uncertainty led by the outbreak, an increase in fear sentiment negatively affects the BTC returns more persistently and significantly. For the post-COVID-19 period, an increase in fear also results in more fluctuations in transaction volume while its initial and cumulative effects are both negative. Due to extreme uncertainty caused by the COVID-19 pandemic, investors may trade more aggressively in the initial phases of the shock.

The authors are convinced that the results in this paper have more far-reaching implications for other markets regulated by the states. BTC provides a natural benchmark to understand how fear sentiment drives and impacts the markets isolated from any interventions. Hence, the results show that in the absence of regulatory frameworks, market dynamics are likely to be more volatile and the fear sentiment has more persistent impacts. The authors also highlight the importance of using micro, asset-specific sentiment measures to capture market dynamics better.

BTC is not associated with any regulatory authority and is not produced by the governments and central banks. COVID-19 as a natural experiment provides an opportunity to explore the pure effects of market sentiment on BTC considering its decentralized and unregulated features. The paper has two main contributions. First, the authors use BTC-specific fear sentiment novel data set of TRMI instead of more general market sentiments used in the existing studies. Next, this is the first study to examine the association between fear and BTC before and after COVID-19.

Classical assumptions of agency theory (AT) fall short of providing satisfactory answers to modern management and organizational knowledge (MOK) problems, and there is a need for extending the scope of the field. This article aims to compare modern AT assumptions with the agency perspective of Islamic historical political treatises (namely, siyasetnamas) and point out how AT can be furthered.

This article applies content analysis method to find out agency perspectives in Islamic political treatises and then compare them with those of the basic AT assumptions to find out similarities and differences between them in explaining agency problems.

The agency perspective in siyasetnamas are based on the following assumptions which could contribute to the development of AT with their emphasis on (1) responsibilities beyond contracts, (2) entrustment rather than ownership, (3) shared societal responsibility rather than conflicting individual interests, (4) importance of self-control for both principals and agents and (5) trust discourse which emphasizes inner virtues rather than control discourse.

Agency perspectives cannot be considered independent of cultural imprints. By introducing siyasetnamas' agency perspective, this article makes an effort to suggest implications for how to further modern MOK based overwhelmingly on individualistic cultural assumptions to rediscuss agency problems from the viewpoint of specifically the emerging markets in which collectivist culture plays an important role in social and economic life. In this respect, siyasetnamas' agency perspective based on the notion of entrustment seems, arguably, to be a better fit to the contextual realities and managerial practices of emerging markets.

The purpose of this paper is to propose an innovative and integrated approach based on service quality measurement (SERVQUAL), quality function deployment (QFD) and failure modes and effects analysis (FMEA) for service quality improvement.

The SERVQUAL scale is used for service quality measurement, QFD is used for service design and FMEA is used to prevent possible failures during service delivery.

A case study in a public hospital in Turkey is performed to show how the proposed approach works in practice. The results of the study show that the proposed approach can be used effectively to assess service quality in practice.

Service quality has become an important issue for service enterprises facing a fiercely competitive environment to provide sustainability. This is the first study that applies an integrated methodology based on SERVQUAL scale, QFD and FMEA to service quality improvement.

This paper aims to understand technology-based accelerators’ legitimation efforts in an emerging entrepreneurship ecosystem.

This research is based on qualitative inductive methodology using ten Turkish technology-based accelerators.

The analysis indicates that accelerators’ legitimation efforts are shaped around crafting a distinctive identity and mobilizing allies around this identity; and establishing new collaborations to enable collective action. Further, the authors observe two types of technology-based accelerators, namely, “deal flow makers” and “welfare stimulators” in Turkey. These variations among accelerators affect how they build their legitimacy. Different types of accelerators make alliances with different actors in the entrepreneurship ecosystem. Accelerators take collective action to build a collective identity and simultaneously imply how they are distinguished from other organizations in the same category and the ones in the old category.

This study presents a framework to understand how accelerators use strategies and actions to legitimize themselves as new organizations and advocate new norms, values and routines in an emerging entrepreneurship ecosystem. The framework also highlights how different accelerators support legitimacy building by managing the judgments of diverse audiences and increasing the variety of resources these audiences provide to the ecosystem.

The purpose of this paper is to determine redesigned product profiles to maximize Erzurum Civil cheese consumption satisfaction of Turkish consumers under an ordinal utility approach.

Data were obtained from a survey conducted in Erzurum in 2014. A conjoint analysis was used to determine the utilities of each level along with the relative importance of Erzurum Civil cheese attributes for measuring the consumption satisfaction as an indicator of the purchase decision and priorities of Turkish consumers.

The results of the study clearly highlighted that Erzurum Civil cheese consumption satisfaction was maximized with the augmented and actual product images redesigned by a private-labelled and local-branded simple product with the highest and medium prices based on organic production techniques for heavy and light consumers, respectively. However, medium consumers appreciated the core benefit obtained from the credence quality attributes supported by the generic branded simple cheese with the lowest price purchased directly from the farmstead villages. Eventually, these marketing tactics and strategies could increase demand, maximizing the cheese consumption and satisfaction of Turkish consumers in each cluster. They could also provide greater consumption satisfaction to Turkish consumers as well as bigger marginal contributions to the market dynamics of the food supply chain.

This study was the first research conducted on Erzurum Civil cheese consumption satisfaction of Turkish consumers using innovative approaches and brand designations, such as Protected Designation of Origin, Protected Geographical Indication, and Traditional Specialty Guaranteed in Turkey using the conjoint and k-mean cluster analyses techniques.

The purpose of this study was to identify and determine the best fit model of triple bottom line (TBL) performance. Particularly, it delved into the interrelationships among variables which include sustainable management practices, strategic orientation and organizational culture on TBL performance. This study employed descriptive-correlation technique using Structural Equation Modeling. Data were sourced by administering survey questionnaires to 400 individuals performing key functions among large manufacturing companies operating in Region XII, Philippines. Results displayed that sustainable management practices, strategic orientation and organizational culture positively and significantly correlated with TBL performance. Structural Model 4, which depicted the direct causal relationships of sustainable management practices and organizational culture to TBL performance of large manufacturing companies, satisfied all the indices used and was found to be the best fit model. Finally, this study adds value to a growing body of literature viewing TBL through the lens of corporate sustainability.

As reimbursements fall and costs for services climb, organizations are forced to follow the painful motto of doing more with less. A solution could be the adaptation of industrial business process improvement (BPI) methods such as Lean to the hospital setting (HS). The purpose of this paper is to analyze if Lean approaches related in the literature provide sufficient methodological support for other practitioners to reproduce the reported results.

The authors analyzed the published Lean literature in the HS using a methodological maturity-level framework and what the authors defined as the 11 characteristic activities of BPI.

The literature analysis reveals that a Lean approach with a high-methodological maturity level that includes the 11 characteristic activities of BPI has never been reported. Considering this, the paper suggests a meta model for a high-methodological maturity-level Lean method based on the characteristic activities of BPI.

This is the first study on the Lean approach in the HS that evidences the absence of a robust Lean methodology in the literature. For Lean to be adopted and implemented by hospital practitioners a structured robust method should be provided.

The purpose of this article is to examine the impact of digital technology (specifically mobile applications) use on employees' perceptions of motivation at work (MW) and job performance (JP).

Survey data were collected from 4,089 employees working in small and medium-sized enterprises (SMEs) registered to Small and Medium Enterprises Development Organization (SMEDO) in Turkey. The relationships were assessed through structural equation modeling with bootstrap estimation.

The results support the proposed framework illustrating the positive effect of perceived usefulness (PU) and perceived ease of use (PEOU) of mobile applications on employees' perceived JP. Findings indicate that MW has exhibited a mediating effect between both PU and JP and PEOU and JP.

This article discusses the accelerating role of coronavirus disease 2019 (COVID-19) pandemic on SMEs' technology acceptance and the acceptance's positive impact on employees' motivation and performance. This article adds to the literature on SMEs by enabling researchers and practitioners to understand the issues in digital technologies acceptance by SME employees and contributes towards enriching the knowledge on technology acceptance perceptions' role in SMEs coping strategies during the COVID-19.

This paper aims to explore the effect of government support (short work allowances – SWA) on SME employees' job performance and employee motivation perceptions, during the COVID-19 pandemic in Turkey.

Survey data were collected from 2,781 employees working in SMEs registered to Small and Medium Enterprises Development Organization (SMEDO) in Turkey. The relationships were assessed through structural equation modeling with bootstrap estimation.

The results support the proposed framework illustrating the positive effect of government support on employees' perceived motivation and job performance. Findings indicate that employee motivation has exhibited a mediating effect between government support and job performance. Another important finding is that, contrary to the classical understanding of Herzberg's two-factor theory, SWA system was able to perform as a motivating factor during the pandemic by meeting the hygiene needs.

Since this is a cross-sectional research study, causal inferences cannot be derived from the research results.

There is a lack of empirical study on SME employees' perceptions on the government support during the pandemic, especially on the perspectives of emerging economies are infrequent. Turkey's case is unique in terms of providing insights on how perceived employee motivation is increased by the government supports (SWA) in Turkey, and how this motivation mediates the job performance perceptions. Besides, the impacts of government support are mostly studied at the firm or macro-levels, this study's unit of analysis is at individual level. Regarding the criticism from the motivation perspective of two-factor theory, COVID-19 context and its impact on the motivation needs have not been elaborated before. This article starts new discussions on how crisis contexts influence individual motivator factors.