Situational Variables Research Articles

Exploring the measurements of COVID-19-induced supply chain disruptions and their implications on the economic vulnerability of small-scale farmers

PurposeThe main aim of this study is to explore the appropriate factors in measuring COVID-19-induced supply chain disruptions and the impact of these disruptions on the economic vulnerability of small-scale farmers in Sri Lanka.FindingsThe findings revealed that most of the farmers have continued to cultivate even during the pandemic despite several challenges which affected their economic status. Therefore, it is concluded that COVID-19-induced transportation and demand disruptions exacerbated the economic vulnerability of small-scale farmers over the disruptions in supply and production.Practical implicationsThe findings of this study are crucial for formulating novel policies to improve the sustainability of the Sri Lankan agricultural sector and alleviate the poverty level of Agri-communities in the countryside. As farming is a vital sector in the economy, increased attention ought to be given on facilitating farmers with government-encouraged loans or allowances for their financial stability. Further, the respective government authorities should develop programs for importing and distributing adequate quantities of fertilizers among all the farmers at controlled prices so that they can continue their operations without any interruption. Moreover, the government could engage in collaboratively work with private organizations to streamline the Agri-input supply process. There should be a government initiative for critical consideration of the issues of farming families and their continued motivation to engage in agriculture. Thus, farmers' livelihoods and agricultural prosperity could be upgraded through alternative Agri-inputs and marketing strategies, providing financial assistance, encouraging innovative technology, etc.Originality/valueDespite the significance and vulnerability of the vegetable and fruit sector in Sri Lanka, there is a limitation in the empirical studies conducted on the supply chain disruptions caused by COVID-19 measures and their implications on the farmers' livelihood. Furthermore, previous empirical research has not employed adequate quantitative tools to analyze the situation or appropriate variables in evaluating COVID-19-induced disruptions. Hence, the current study explored the appropriate factors for measuring COVID-19-induced supply chain disruption using exploratory factor analysis. Then, the impact of those factors on the economic vulnerability of the small scale farmers was revealed through the ordinal logistics regression analysis.

Destination choice modeling with spatially distributed constraints

Destination choice models are a key component of any transport and land-use model. Applications in agent-based models allow for destination choice on an individual level including personal variables, like trip purpose, or situational variables. Commonly applied methodologies stem from econometrics, discrete choice theory and utility maximization using either revealed or stated preference data. This paper presents a framework to integrate cross-section flows between distinct geographic areas, which can be obtained from cordon surveys or mobile phone data. Proposed optimization methodology—based on extended shadow price theory—accommodates these complementary data sources as spatially distributed constraints, in addition to the destination capacity constraints such as workplaces. The new generic and robust optimization methodology accounts for constraints as observed on cross-section flows and destination capacities while maintaining econometric choice model theory. As a proof of concept, the suggested methodology is successfully applied in a real-case, agent-based application covering the tri-national Basel region with about 2 million residents, and a large set of 2 · 104 distinct destination alternatives. Due to different wage levels in all three countries and other reasons, the region’s cross-border commuter flows are highly asymmetric. Including data on cross-border flows obtained from a cordon survey, the choice model’s mean deviation declines by 20% and more on a cross-section level and even more so on a choice alternative level, compared to calculations ignoring shadow prices. Moreover, multiple scenario calculations show considerable improvements in planning and forecasting applications. The results demonstrate the suitability and relevance of the proposed approach to optimize destination choice models with limited destination capacities in geographical regions usually characterized by travel demand asymmetries.

Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables

BackgroundThis study aimed to compare the performance of ten predictive models using different machine learning (ML) algorithms and compare the performance of models developed using patient-specific vs. situational variables in predicting select outcomes after primary TKA.MethodsData from 2016 to 2017 from the National Inpatient Sample were used to identify 305,577 discharges undergoing primary TKA, which were included in the training, testing, and validation of 10 ML models. 15 predictive variables consisting of 8 patient-specific and 7 situational variables were utilized to predict length of stay (LOS), discharge disposition, and mortality. Using the best performing algorithms, models trained using either 8 patient-specific and 7 situational variables were then developed and compared.ResultsFor models developed using all 15 variables, Linear Support Vector Machine (LSVM) was the most responsive model for predicting LOS. LSVM and XGT Boost Tree were equivalently most responsive for predicting discharge disposition. LSVM and XGT Boost Linear were equivalently most responsive for predicting mortality. Decision List, CHAID, and LSVM were the most reliable models for predicting LOS and discharge disposition, while XGT Boost Tree, Decision List, LSVM, and CHAID were most reliable for mortality. Models developed using the 8 patient-specific variables outperformed those developed using the 7 situational variables, with few exceptions.ConclusionThis study revealed that performance of different models varied, ranging from poor to excellent, and demonstrated that models developed using patient-specific variables were typically better predictive of quality metrics after TKA than those developed employing situational variables.Level of EvidenceIII.

When showrooming is not a threat: Uncovering opportunities for showroomer retention

Showrooming is an increasingly common behavior that challenges the profitability of store-based retailers when the purchase is done at a competing online retailer. However, showrooming can also be a loyal behavior, although few studies differentiate between loyal and competitive showrooming. This study aims to provide multichannel retailers with knowledge about how to retain consumers who enter their stores with the intention to showroom. To this end, the influence of situational variables and loyalty towards the retailer are considered. With information from 466 showroomers and applying the fsQCA methodology, the results allow us to conclude that online price advantage and salesperson quality play a role in favoring loyal showrooming and preventing competitive showrooming respectively. Additionally, product category and the purchase device influence the transition from competitive showrooming intention to behavior. From these results, several managerial implications are proposed for store-based retailers.

The impact of regulatory focus on store promotions: The role of shopping enjoyment

ABSTRACT This study investigates how regulatory focus, shopping enjoyment, store promotions, and propensity to plan before shopping are interrelated to explain store promotion usage. Two studies were conducted based on a moderated mediation approach. One is survey-based using PLS-SEM and another is experiment-based using Process Macro. The results reveal that shopping enjoyment mediates the relationship between store promotion usage and consumers’ regulatory focus, irrespective of its nature as a personality trait or a situational variable. The relationship between shopping enjoyment and regulatory focus is moderated by propensity to plan. Understanding this interrelatedness for predicting store promotion usage would help practitioners design more effective promotional materials.

The adoption of mobile payment services by millennials: the roles of smartphone addiction and situational variables

PurposeThe increased usage of smartphones has made mobile payment services (MPS) popular among millennials, but it is uncertain if this shift in behavior is temporary due to situational factors like the pandemic or a long-term trend due to technological advances. This study uses the diffusion of innovation (DOI) literature to assess an integrated model including smartphone addiction, technology-related and consumer-related factors that influence consumers' intention to use MPS. It also explores the interplay of situational variables and smartphone addiction in shaping this relationship.Design/methodology/approachThe authors base the conceptual model on the theory of rational addiction and the theory of optimal flow. This model is then empirically validated through data collected from seven hundred users of MPS in India. Research hypotheses are tested using structural equation modeling and multi-group analysis.FindingsThe study finds that smartphone addiction has a positive impact on millennials' perceived advantages, compatibility, trialability and observability of MPS but does not significantly affect their perceived complexity or risk. The results also suggest that the relationship between smartphone addiction and MPS is moderated by situational factors. In low-priority situations, smartphone addiction strengthens millennials' perceptions and intentions to use MPS, while in high-priority situations, situational factors overshadow the impact of smartphone addiction.Originality/valueThe findings of the study enable organizations to capitalize on smartphone addiction-driven MPS adoption behavior to sustain long-term usage behavior by appropriately understanding the context/situation which drives MPS adoption.

Climate change information seeking

AbstractThis research develops and tests a model of individual intentions to actively seek information about climate change. Our premise is that the individual's intention to actively seek information about climate change would determine their knowledge of and attitudes towards climate change, and this would in turn influence how they act or change their behaviors in response to that risk. Our model identifies key cognitive, affective, and situational variables drawn from research in human information behavior and risk communication. We conducted an online survey in which 212 participants in Canada and the United States responded. The results showed that the model was able to explain more than 40% of the variance in intention to seek climate change information. Social Norms, Affective Response, and Social Trust were the most important variables in influencing intention to seek climate change information. We conclude that climate change information seeking has a strong social dimension where social norms and expectations of relevant and respected others exert a major influence, and that the individual's emotional response towards the risk of climate change is more important than the individual's cognitive perception of how much information they need on climate change.

Relationship between rural land titling and land transfer in China: a systematic literature review and meta-analysis

The traditional land system of rural communities in China has been an obstacle to the sustainable development of land transfer. To facilitate a more efficient allocation of resources, the Chinese government has implemented the largest rural land titling action in the world. However, there has been much debate in scholarly circles regarding the correlation between rural land titling and rural land transactions. By employing meta-analysis technology, this paper evaluates the relationship between rural land titling and rural land transactions. According to the meta-analysis results, rural land titling is only a minor contributor to rural land transfer; it only contributes to rural land transfer-out, with no effect on rural land transfer-in. Furthermore, education, age, labor force, agricultural fixed assets owned, area of contracted rural land, and publication time were identified as situational variables that affect the relationship between rural land titling and rural land transfer-out. This research provides insight into how to promote the sustainable development of agricultural land economy by promoting land transfer, as well as further topics for future study.

Examining the Effect of Situational Awareness and Health Protection Behaviour on Loneliness and Hopelessness in COVID-19 Process

This study focuses on feelings of loneliness and hopelessness in which COVID-19 was created. The research addresses the following questions: (a) How does trust in government or media affect loneliness and hopelessness during the COVID-19 pandemic? (b) How does trust in interpersonal information affect loneliness and hopelessness? (c) What is the mediating role of perceived personal sensitivity, hand hygiene, and social distance in the effect of trust in government or media on loneliness and hopelessness? (d) What is the mediating role of perceived personal sensitivity, hand hygiene, and social distance in the effect of trust on interpersonal information on loneliness and hopelessness? Trust in government or media information ( β: 0.200) positively affects Situational Awareness variables. While Trust in interpersonal information ( β: −0.106) affects negatively. Situational Awareness creates a negative effect on Loneliness ( β: −0.129) and Hopeless ( β: −0.155), while Health Protective Response affects positively. Finally, Health Protective Response negatively affects Loneliness ( β: 0.245) and Hopeless ( β: 0.253). Interpersonal information, on the other hand, causes individuals to feel both hopeless and lonely. And, when the relationship between individuals’ health protective response with hopelessness and loneliness is examined, it is understood that both health protection responses negatively affect these two emotional states, even if they have different effect levels. As individuals display health protection responses, they have higher hopes for the future and the loneliness felt decreases.

Cultural and historical context in the analysis of the concept of "antiterrorism"

The purpose of the article is to critically comprehend the concept of "counterterrorism" in the context of the so-called models (strategies) of counterterrorism. The fight against terror is not confined to itself, it has to do with national interests and those factors and forces that prevent their implementation. When considering a specific counterterrorism system at the national level, it is important to take into account both cultural and historical prerequisites and fundamental factors that generate nodal contradictions in society, as well as current situational variables related to the increase in terrorist threats. Only by taking into account these factors and current situational variables that cause the growth of radical and extremist views in society, it is possible to determine the long-term logic of actions in the fight against terrorism and extremism. The author critically interprets the concept of "counterterrorism" in the context of the so-called models (strategies) of counterterrorism, which are actively being developed in modern Western historiography. Achieving this goal is not only the disclosure of the content of each of these models, but also their consideration through the prism of the Russian experience. The main conclusions of the proposed article are that the fight against terrorism should be based on powerful systems of ideological, political and law enforcement structures. A key place here is given to long-term strategic goals related to the root causes of terrorism. The goals of national security and threats, and, therefore, the directions of action should be defined and presented in regularly updated doctrinal documents. From the point of view of researchers, both the level of mastery of the tactical arsenal of hard and soft approaches, instrumental and/or political-symbolic logic of actions, and consideration of the cultural and historical characteristics of a particular society are significant. Theoretical analysis in this context helps to determine the long-term logic of counterterrorism actions when making necessary management decisions, taking into account international and national experience.

Assessing the predictive capacity of machine learning models using patient-specific variables in determining in-hospital outcomes after THA

BackgroundMachine learning is a subset of artificial intelligence using algorithmic modeling to progressively learn and create predictive models. Clinical application of machine learning can aid physicians through identification of risk factors and implications of predicted patient outcomes. AimsThe aim of this study was to compare patient-specific and situation perioperative variables through optimized machine learning models to predict postoperative outcomes. MethodsData from 2016 to 2017 from the National Inpatient Sample was used to identify 177,442 discharges undergoing primary total hip arthroplasty, which were included in the training, testing, and validation of 10 machine learning models. 15 predictive variables consisting of 8 patient-specific and 7 situational specific variables were utilized to predict 3 outcome variables: length of stay, discharge, and mortality. The machine learning models were assessed in responsiveness via area under the curve and reliability. ResultsFor all outcomes, Linear Support Vector Machine had the highest responsiveness among all models when using all variables. When utilizing patient-specific variables only, responsiveness of the top 3 models ranged between 0.639 and 0.717 for length of stay, 0.703–0.786 for discharge disposition, and 0.887–0.952 for mortality. The top 3 models utilizing situational variables only produced responsiveness of 0.552–0.589 for length of stay, 0.543–0.574 for discharge disposition, and 0.469–0.536 for mortality. ConclusionsLinear Support Vector Machine was the most responsive machine learning model of the 10 algorithms trained, while decision list was most reliable. Responsiveness was observed to be consistently higher with patient-specific variables than situational variables, emphasizing the predictive capacity and value of patient-specific variables. The current practice in machine learning literature generally deploys a single model, it is suboptimal to develop optimized models for application into clinical practice. The limitation of other algorithms may prohibit potential more reliable and responsive models.Level of Evidence III.

Assessment of Nutritional Status and Health Perception among Male Inmates in Israeli Prisons.

The nutritional and health perceptions of inmates are crucial to their overall well-being. However, limited research has been conducted on this topic. This study aimed to assess the nutritional and health perception state of male inmates in eleven prisons in Israel. A cross-sectional study was conducted between February and September 2019 with 176 voluntary participants. Structured questionnaires were used to collect data on socio-demographic characteristics, healthy habits, subjective health status, and prison situation variables. The study found that the prevalence of overweight (40%) and obesity (18.1%) among 18-34-year-old inmates was significantly higher than in the reference Israeli population. Short detention periods (up to one year) predicted less weight gain, while older age predicted poorer health status. Better emotional status significantly predicted better subjective health status among male inmates. There is a need for nutrition interventions to improve the health of inmates. The significant weight gain during incarceration and the associated lower health index and stress highlights the importance of increasing knowledge and promoting a healthier lifestyle in incarceration as early as possible and continuing over time.

A contextualised model of the use of agile technique in South African software development team

Background: Software development teams are challenged with the adoption of the most appropriate software development methodology. Despite their acceptance of agile methodologies, still many countries use traditional software development methods.Objectives: The major objective of this study was to develop a contextualised model for the adoption of agile methodologies in software development teams in South Africa.Method: Our study identified the factors that contributed to the adoption of agile software development teams in South Africa by conducting a factor analysis. We used descriptive statistics to determine the frequencies of the participant’s demographics and situational variables. A composite research model based on technology, organisation and environment, individual characters and culture constructs was constructed and analysis was performed by applying the statistical techniques of correlation analysis, regression analysis and structural equation modelling.Results: The result of the analysis revealed that many teams do not have a specific model that they use in agile development methodology. Technology, organisation, environment and culture constructs were found to have an impact on teams in adopting agile methodologies.Conclusion: The study demonstrated that organisations lack appropriate models of agile methodologies adoption to inform their decision making. Therefore, adopt the developed model in taking informed decisions for their software development methodologies. The study makes a practical contribution to management and practice.Contribution: This study improves on software development approaches in developing countries. The developed model can be adopted as a theory in future research. It contributed literature to the body of knowledge.

Analysis of the return in professional men's and women's padel

The goal of this research was to analyze how situational variables such as the tactical position and the direction of the serve, the return's direction, and the score affect the vertical trajectory (VT) of the return (straight or lob) in men's and women's professional padel. For this, a sample of 2752 points (1431 men and 1321 women) corresponding to 69 matches played in the 2021 season of the World Padel Tour circuit was used. The VT of the return (straight or lob), to which player it was oriented, how important the point was attending to the score, the tactical position of the serving players, and the direction of the serve by systematic observation were recorded. The results showed that situational variables had a significant influence on the type of vertical return trajectory. Men performed a significantly higher percentage of straight returns (three out of four returns) when returning to the player at serve, or at a nonkey moment, or Australian position, or when the serve was to the body or to the side wall. In contrast, women returned a significantly higher percentage of lob returns (three out of four returns) to the server's partner, or in golden point situations, or in serves to the “T” and to the body, regardless of the tactical position at serve. The return had not been analyzed considering the score, observing changes in the golden points. These results have a great impact both on carrying out specific return training and on improving pair's anticipation to serve in different return situations.

Motives of Online Hate Speech: Results from a Quota Sample Online Survey.

Online hate speech (OHS) is a prevalent societal problem, but most studies investigating the reasons and causes of OHS focus on the perpetrators' side while ignoring the bystanders' and the victims' side. This is also true for the underlying theories. Therefore, we proposed a new Action-Theoretical Model of Online Hate Speech (ATMOHS), which assumes that OHS is a product of environmental, situational, and personal variables with three groups involved (perpetrators, bystanders, and victims) that each have their own set of motives, attitudes, traits, and norm beliefs that are impacting their behavior. The model was put to a first test with an online survey using a quota sample of the German online population (N = 1,791). The study at hand is a first analysis of these data that focus on the motives of OHS. Results show that wanting to be a role model for others is an important motive on the active bystanders' side. However, it could not be confirmed that any aggression motive is important on the perpetrators' side or that undeservingness is an important motive on the victims' side. Future studies could investigate if there are other motives for the victims' side that are in-line with the underlying theory of learned helplessness, or if there is a better theory for modeling the victims' side. Future studies could also develop a better scale for aggression motives. In practice, prevention programs could focus on being a role model for others as a relevant motive for becoming an active bystander.

Exploring Factors Affecting Consumer’s Impulse Buying Behavior in Live-Streaming Shopping: An Interactive Research Based Upon SOR Model

The emergence of live-streaming commerce has fueled the phenomena of impulse buying. However, existing understanding of this phenomenon is relatively limited. In this study, we adopted the stimulus-organism-response (SOR) paradigm to create an influence mechanism of impulse buying behavior in live streaming shopping. We investigated the influence of social presence and sales promotion (stimuli) on impulse buying behavior (response) through flow experience (organism). In addition, we also examined time availability and money availability, two situational variables, as moderators of flow experience and impulse buying behavior. To explore the factors that contribute to consumers’ impulse buying behavior, an online survey ( n = 375) was done in China. The empirical findings indicate that social presence and sales promotion positively affect flow experience, subsequently triggering consumers’ impulse buying behavior in live streaming. The results also indicated the positive moderation of money availability and time availability. Theoretically, the findings contribute to live- streaming commerce literature and impulse-buying literature. The findings also provide insightful managerial implications for live-streaming merchants to better understand impulse buying behavior to develop an effective marketing strategy.

Shame on me for needing you: A multistudy examination of links between receiving interpersonal emotion regulation and experiencing shame.

Recent theory and research have drawn attention to interpersonal dimensions of emotion regulation. Yet, few empirical investigations of the outcomes of interpersonal emotion regulation have been conducted. We propose that one negative affective outcome of received interpersonal emotion regulation of conceptual and practical interest is shame. In the present series of studies, participants from six disparate samples reported on experiences of receiving interpersonal emotion regulation using autobiographical recall and ecological sampling paradigms (total analyzed n = 1,868; total analyzed k = 2,515 instances of receiving interpersonal emotion regulation). We sought to quantify the frequency and distinctiveness of shame as an outcome of receiving interpersonal emotion regulation. We used an exploratory-confirmatory approach to identify robust and generalizable correlates of shame. We considered individual (e.g., trait external shame-proneness), situational (e.g., desire for regulation), relational (e.g., perceived closeness with the provider), and interaction-specific (e.g., perceptions of provider hostility) variables. Our results indicate that it is not uncommon for people to experience receiving interpersonal emotion regulation as shame-inducing, and these perceptions are distinct from their evaluations of the overall helpfulness of the interaction. An internal mini meta-analysis showed that the strongest correlates of shame across studies and samples were individual differences in nonacceptance of negative emotions and expressive suppression and interaction-specific ratings of provider responsiveness and hostility. We discuss the conceptual, methodological, and practical implications of these findings for studying interpersonal emotion regulation and shame. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Who wants to be an entrepreneur in the Balkans? From perceptions and beliefs to intentions

PurposeThis paper uses the theory of planned behavior (TPB) to explain entrepreneurial intentions (EIs) among students from different South-East (SE) European countries, considering various personal and situational variables. The authors examine how the regional cultural context affects individual perceptions and beliefs about entrepreneurship, which in turn form the basis of the cognitive antecedents of the TPB model.Design/methodology/approachUsing a sample of 850 respondents, the authors estimate a two-level model, addressing the issue of endogeneity in the relationship between attitudes and beliefs and the respondents' EI. Specifically, the authors focus on heterogeneity across nations in attitudes toward entrepreneurial behavior (ATEB), subjective norms (SN) and perceived behavioral control (PBC).FindingsThe results show that the perceived behavioral control and the attitude toward entrepreneurial behavior are the main determinants of Balkan students' EI. The authors find that the role of SE European culture in entrepreneurship intentions does not follow the Western pattern. In this particular regional environment dominated by collectivist culture, students' EIs are influenced more by cooperation, caring for others and other non-monetary benefits.Research limitations/implicationsLike any study, this study has limitations. First, all the variables were measured using a single questionnaire. Although common method bias was shown not to be an issue, in future research different variables should be measured with different methods. For instance, using the items by Liñán and Chen (2009) which were developed in the United States of America, to measure SE European students' entrepreneurial perceived behavioral control might ignore some requisite resources or abilities typical for SE European students, such as personal relational network (similar to the notion of guanxi in China (see, e.g. Hwang et al., 2009). Second, Busenitz et al. (2000) indicate that cross-national differences in entrepreneurship are best explained by a broader set of institutions, i.e. educational and governmental support agencies. In general, the empirical evidence on the relationship between national culture and entrepreneurial behavior is mixed and this is generally agreed that an important issue that needs to be considered is the interactions between cultural values, social institutions, industry characteristics and outcomes such as entrepreneurship (Hayton et al., 2002). In the future, similar studies could include respondents with a larger dispersion of prior education, age, and human, social and financial capital.Practical implicationsThe existence of support received in the family environment and the lack of individualistic and competitive aspirations create a more favorable environment for a young person to become entrepreneur. This must be taken seriously into account by educators and policy makers aiming at encouraging entrepreneurship, because in the societies studied here the motivation of prospective entrepreneurs depends on totally different drivers than those usually encountered in the Western world. Furthermore, from a gender perspective, the authors' study suggests that in societies with stronger family ties and more gender discrimination, an individual's closer social environment may not create the appropriate context for women to decide to become entrepreneurs.Social implicationsA strong hierarchical culture in a society goes against the intention of becoming an entrepreneur. That is, when people accept that social mobility is low and, thus, reversing people's relative positions in the society is unlikely, people are less prone to becoming entrepreneurs. In Western societies, where collectivism is low, the contrary holds. In the societies considered here, where family and social links are strong, entrepreneurship is considered to be a rather safer option, which is encouraged by non-individualistic values and is negatively associated with aggressive competitiveness. In those societies, formal institutions such as the government and the educational sector could play an important role to support prospective female entrepreneurs (Borges et al., 2021).Originality/valueThe motivation of prospective entrepreneurs in SE European countries depends on totally different drivers than those usually encountered in the Western world.

A random forest approach to explore how situational variables affect perceived exertion of elite youth soccer players

The aim of this study was to explore how situational variables affect youth soccer players’ perceived exertion (RPE) after official matches. Thirty-five elite youth male players (14.33 ± 0.86 years; 173.49 ± 6.16 cm; 63.44 ± 5.98 kg) who belonged to two different teams of a professional club participated in this study. Data collection was conducted during two seasons (2016–2017, 2017–2018) and included 60 official matches (30 official matches per team). Ten minutes after each match players rated their RPE and using a modified Borg CR-10 scale. A Random Forest Regression was used to quantify the importance of match-related situational variables in RPE. Afterwards, a linear mixed model analysis was applied to identify the variability in RPE among the situational variables. The game-playing time, the player status (starter or substitute) and the player identity were the strongest predictors of RPE. Moreover, the match outcome and the final scoreline showed significant effects on both starter and substitute players but the main effect of the quality of the opponent was only identified in starter players (p < 0.05). These results allow practitioners to know how situational variables interact and modulate RPE after official matches and help them to prescribe and adapt the players’ training content and load before and after matches.

PENGARUH KEPEMIMPINAN SITUASIONAL DAN BUDAYA ORGANISASI TERHADAP KOMITMEN GURU DI MADRASAH TSANAWIYAH NEGERI KOTA TANJUNGBALAI

This research aims to analyze (1) To analyze the influence of situational leadership on teacher commitment in Madrasah Tsanawiyah State of Tanjungbalai City. (2) To analyze the influence of organizational culture on the commitment of teachers in Madrasah Tsanawiyah State of Tanjungbalai City. (3) To analyze the influence of situational leadership and organizational culture together on the commitment of teachers in Madrasah Tsanawiyah State of Tanjungbalai City.The type of research used is quantitative research with questionnaire dissemination methods. Sampled in this study 51 teachers in Madrasah Tsanawiyah State of Tanjungbalai City. The calculation of analytical tests in this study was conducted using the Statistical Package for Social Science (SPSS) program.Based on the results of research that (1) situational leadership has a significant effect on the commitment of teachers in Madrasah Tsanawiyah State of Tanjungbalai City. This is characterized by the value given X1 (situational leadership) to Y (teacher commitment) of 31,2% and positive means that the greater the situational leadership of the principal of Madrasah Tsanawiyah State of Tanjungbalai (X1) the greater the teacher commitment (Y). tcount at X1 = 2.394 &gt;ttable (0.05;49) = 0.2329 or by comparing sig value = 0.001 &lt; error level of 5% = 0.05.(2) The culture of significant influential organizations has a teacher commitment in Madrasah Tsanawiyah State of Tanjungbalai City. This is characterized by an X2 (organizational culture) value to Y (teacher commitment) of 31,4% and positive means that the greater the organizational culture (X2) the greater the teacher commitment (Y). tcount at X2 = 2,413 &gt;ttable (0.05;49) = 0.2329 or by comparing the value of sig = 0.000 &lt; error level of 5% = 0.05.(3) Situational leadership variables and organizational culture had an effect of 50,10% on teacher commitment in Madrasah Tsanawiyah State of Tanjungbalai City. Simultaneously situational leadership and organizational culture are low to the commitment of teachers in Madrasah Tsanawiyah State of Tanjungbalai City