{"id":7914,"date":"2026-09-27T04:18:22","date_gmt":"2026-09-27T04:18:22","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/environmental-stimuli-satisfaction-behavioral-intentions-alternative-golf\/"},"modified":"2026-09-27T04:18:22","modified_gmt":"2026-09-27T04:18:22","slug":"environmental-stimuli-satisfaction-behavioral-intentions-alternative-golf","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=environmental-stimuli-satisfaction-behavioral-intentions-alternative-golf","title":{"rendered":"Environmental Stimuli, Satisfaction, and Behavioral Intentions in the Alternative Golf Context&#8211;Model Questionnaire"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p>The <strong>Environmental Stimuli, Satisfaction, and Behavioral Intentions in the Alternative Golf Context Model Questionnaire<\/strong> is an empirical psychometric instrument designed to evaluate consumer perceptions, affective cognitive evaluations, and post-consumption behavioral patterns within contemporary, technology-driven sport-entertainment facilities (such as Topgolf, Drive Shack, and screen golf simulation lounges). Grounded in an extended formulation of the classical <a href=\"https:\/\/en.wikipedia.org\/wiki\/Mehrabian_and_Russell%27s_stimulus_organism_response_model\" target=\"_blank\" rel=\"noopener noreferrer\">Mehrabian\u2013Russell Stimulus-Organism-Response (S-O-R) framework<\/a>, this questionnaire operationalizes environmental stimuli across three multidimensional hospitality and leisure vectors: <em>physical environment quality<\/em>, <em>food and beverage quality<\/em>, and <em>service quality<\/em>. These environmental antecedents drive the consumer organism state\u2014manifested through <em>customer satisfaction<\/em>\u2014which subsequently governs downstream behavioral outcomes conceptualized as <em>activity involvement<\/em> and <em>behavioral intentions<\/em> (including revisit propensity and positive word-of-mouth recommendations).<\/p>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">The operationalized measurement model comprises 21 items across six latent dimensions, administered using a standardized seven-point Likert response format ranging from 1 (Strongly Disagree) to 7 (Strongly Agree). Psychometric validation across adult consumer cohorts demonstrates exceptional measurement integrity. Confirmatory factor analyses reveal robust construct validity, with standardized factor loadings ranging from 0.655 to 0.896, and average variance extracted (AVE) values spanning 0.615 to 0.691, exceeding conservative psychometric thresholds. Evaluated across structural equation modeling procedures, the instrument exhibits strong goodness-of-fit indices (\u03c7\u00b2 = 362.366, df = 137, \u03c7\u00b2\/df = 2.645, CFI = 0.964, TLI = 0.955, NFI = 0.944, and RMSEA = 0.058). Reliability diagnostics confirm high internal consistency, yielding Cronbach\u2019s alpha coefficients between 0.827 and 0.890 and composite reliability scores between 0.818 and 0.891 across all subscales. This assessment system provides hospitality managers, sports sociologists, and consumer psychologists with a standardized diagnostic tool to quantify experiential service delivery, consumer pleasure, ongoing brand engagement, and customer retention within hybrid sporttainment ecosystems<\/span>.<\/p>\n<h2>Keywords<\/h2>\n<p>Alternative Golf, Environmental Stimuli, Mehrabian-Russell Model, Customer Satisfaction, Behavioral Intentions, Activity Involvement, Servicescape, Hospitality Management, Service Quality, Sports Marketing<\/p>\n<h2>Authors<\/h2>\n<p>The measurement model and its underlying empirical validation were established by a collaborative team of hospitality management, tourism, and consumer behavior scholars at the University of Central Florida:<\/p>\n<ul>\n<li><strong>Jeeyeon Jeannie Hahm, Ph.D.<\/strong> \u2014 Department of Tourism, Events, and Attractions, Rosen College of Hospitality Management, University of Central Florida, Orlando, FL, United States. ORCID: <a href=\"https:\/\/orcid.org\/0000-0003-0470-5342\" target=\"_blank\" rel=\"noopener noreferrer\">0000-0003-0470-5342<\/a>. Email: Jeeyeon.Hahm@ucf.edu. Correspondence Address: 9907 Universal Blvd., Orlando, Florida 32819, United States.<\/li>\n<li><strong>David J. Kwun, Ph.D.<\/strong> \u2014 Department of Hospitality Services, Rosen College of Hospitality Management, University of Central Florida, Orlando, FL, United States. Email: David.Kwun@ucf.edu.<\/li>\n<li><strong>Juhee Kang, Ph.D.<\/strong> \u2014 Department of Hospitality Services, Rosen College of Hospitality Management, University of Central Florida, Orlando, FL, United States. Email: Juhee.Kang@ucf.edu.<\/li>\n<\/ul>\n<h2>Purpose<\/h2>\n<p>The emergence of &#8220;alternative golf&#8221;\u2014characterized by high-tech, microchipped golf balls, digital shot-tracking screens, upscale hospitality bays, chef-driven culinary offerings, and communal entertainment spaces\u2014represents a fundamental paradigm shift away from traditional, green-grass 18-hole golf courses. While green-grass golf is traditionally governed by strict etiquette, substantial time commitments, high barrier-to-entry costs, and an athletic focus, alternative golf merges sport with casual social leisure, gamification, and commercial dining. Consequently, standard sport participation inventories or traditional restaurant evaluation tools fail to capture the complex, multi-sensory interactions inherent to this hybrid recreational domain. The primary purpose of the Environmental Stimuli, Satisfaction, and Behavioral Intentions Model Questionnaire is to bridge this methodological void by providing a psychometrically validated, domain-specific measurement system that quantifies how integrated spatial, culinary, and human service encounters shape psychological satisfaction and enduring behavioral fidelity.<\/p>\n<p>From an applied research and management perspective, this tool fulfills several diagnostic functions:<\/p>\n<ul>\n<li><strong>Holistic Servicescape Auditing:<\/strong> The scale enables operations managers to dissect customer reactions into discrete, actionable environmental dimensions\u2014distinguishing physical architectural atmosphere and digital technological tracking from frontline employee interactions and culinary offerings.<\/li>\n<li><strong>Consumer Life-Cycle and Retention Modeling:<\/strong> By evaluating both <em>activity involvement<\/em> (the degree to which an individual internalizes the sport-leisure practice into their lifestyle) and <em>behavioral intentions<\/em> (revisit probability and advocacy), researchers can model long-term customer lifetime value rather than single-transaction metrics.<\/li>\n<li><strong>Market Segmentation and Motivation Profiling:<\/strong> Because the overarching framework incorporates recreational motivation (e.g., social affiliation vs. competitive achievement) and athletic skill levels as moderating factors, applying the scale helps organizations identify differing experiential thresholds between novice entertainment-seekers and serious competitive golfers.<\/li>\n<li><strong>Cross-Industry Generalizability:<\/strong> Beyond alternative golf facilities, this diagnostic questionnaire offers an adaptable template for modern &#8220;sporttainment&#8221; platforms, such as tech-infused indoor cricket, boutique bowling lounges, interactive darts bars, and immersive simulator entertainment venues.<\/li>\n<\/ul>\n<h2>Psychological Construct<\/h2>\n<p>The instrument operationalizes six distinct latent psychological constructs that capture the complete continuum of environmental perception, affective evaluation, lifestyle integration, and intended future action:<\/p>\n<h3>1. Physical Environment Quality<\/h3>\n<p>Physical environment quality pertains to the customer&#8217;s cognitive and sensory assessment of the physical and digital servicescape. Rooted in environmental design theory, this dimension evaluates bay architecture, seating comfort, visual aesthetics, cleanliness, and the operational sophistication of the technology-driven tracking interfaces and ball dispensers. In the alternative golf context, this encompasses modern, climate-controlled hitting bays, responsive digital shot-tracing technology, visual user interfaces, and the facility&#8217;s overall visual ambiance.<\/p>\n<h3>2. Food and Beverage Quality<\/h3>\n<p>Food and beverage quality captures the culinary dimensions of the entertainment experience. Unlike conventional driving ranges where food service is secondary or restricted to vending and snack bars, alternative golf platforms operate as full-service dining destinations. This construct measures menu diversity, visual presentation, ingredient freshness, sensory taste appeal, and perceived price-to-value equity. It quantifies how the gastronomic offering contributes to the overall hospitality experience.<\/p>\n<h3>3. Service Quality<\/h3>\n<p>Service quality reflects customer appraisals of human-to-human relational delivery during the guest journey. Adapting fundamental principles from the <a href=\"https:\/\/en.wikipedia.org\/wiki\/SERVQUAL\" target=\"_blank\" rel=\"noopener noreferrer\">SERVQUAL model<\/a>, this dimension measures the interpersonal warmth, competence, reliability, empathy, and speed demonstrated by guest service hosts, bay attendants, food servers, and bay-reservation personnel. It emphasizes operational dependability and relational attentiveness.<\/p>\n<h3>4. Customer Satisfaction<\/h3>\n<p>Customer satisfaction represents the central internal organismic state within the model. Conceptualized through <a href=\"https:\/\/en.wikipedia.org\/wiki\/Expectancy_disconfirmation_theory\" target=\"_blank\" rel=\"noopener noreferrer\">expectancy-disconfirmation theory<\/a> and cumulative affective appraisal, this construct reflects the guest\u2019s overarching psychological validation that their visit was rewarding, enjoyable, cognitively sound, and emotionally pleasing. It synthesizes discrete service encounters into an overall affective evaluation of the leisure episode.<\/p>\n<h3>5. Activity Involvement<\/h3>\n<p>Activity involvement operationalizes the degree of psychological identification, personal relevance, and ego involvement the consumer connects with alternative golf as an ongoing leisure pursuit. Drawing upon <a href=\"https:\/\/en.wikipedia.org\/wiki\/Involvement_(psychology)\" target=\"_blank\" rel=\"noopener noreferrer\">leisure involvement theory<\/a>, this dimension assesses whether the guest views participation as an integral component of their recreational identity, a meaningful social ritual, and an activity worthy of ongoing temporal and financial commitment.<\/p>\n<h3>6. Behavioral Intentions<\/h3>\n<p>Behavioral intentions serve as the primary downstream outcome construct, reflecting the consumer&#8217;s self-reported probability of enacting positive future behaviors toward the brand. Consistent with the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Theory_of_planned_behavior\" target=\"_blank\" rel=\"noopener noreferrer\">Theory of Planned Behavior<\/a>, this dimension measures three critical loyalty markers: the explicit intent to physically revisit the venue in the short and medium term, willingness to recommend the facility to familial and peer networks, and proactive generation of positive word-of-mouth (WOM) communication.<\/p>\n<h2>Theoretical Framework<\/h2>\n<p>The structural foundation of this measurement model rests upon an extended version of the classical <strong>Mehrabian\u2013Russell (M-R) Environmental Psychology Model<\/strong> (Mehrabian &amp; Russell, 1974), integrated with <strong>Bitner&#8217;s Servicescape Paradigm<\/strong> (Bitner, 1992) and <strong>Leisure Involvement Theory<\/strong> (Havitz &amp; Dimanche, 1997).<\/p>\n<h3>The Stimulus-Organism-Response (S-O-R) Paradigm<\/h3>\n<p>The classical M-R paradigm posits that objective external environmental stimuli (<strong>S<\/strong>) trigger internal affective, cognitive, and neurobiological states within the individual organism (<strong>O<\/strong>), which in turn dictate approach or avoidance behaviors (<strong>R<\/strong>). Historically, environmental psychologists conceptualized the organismic state primarily through emotional dimensions: Pleasure, Arousal, and Dominance (PAD). In hospitality and services marketing, Bitner translated these abstract architectural principles into the &#8220;Servicescape&#8221; framework, demonstrating that physical design, ambient conditions, spatial layout, and human artifacts serve as explicit cognitive cues that shape customer expectations, mood states, and perceived service value.<\/p>\n<p>Hahm, Kwun, and Kang (2023) advanced the M-R paradigm by tailoring its structural linkages to the multi-attribute realities of modern sporttainment. First, they expanded the <strong>Stimulus (S)<\/strong> stage beyond passive architectural aesthetics to encapsulate a tri-component environmental bundle: the built technological environment, culinary excellence, and interpersonal frontline service. Second, they designated <em>Customer Satisfaction<\/em> as the central <strong>Organism (O)<\/strong> conduit, positing that in experiential commercial settings, cognitive satisfaction and hedonic pleasure mediate the transfer of environmental perceptions into sustained loyalty. Third, they diversified the <strong>Response (R)<\/strong> spectrum: while standard S-O-R studies limit approach behavior to immediate purchasing or immediate repurchase intentions, this model introduces <em>Activity Involvement<\/em> alongside <em>Behavioral Intentions<\/em>, conceptualizing response not merely as transactional re-patronage, but as lifestyle absorption and social advocacy.<\/p>\n<h3>The Moderating Architecture: Motivation and Skill<\/h3>\n<p>The extended theoretical framework incorporates individual difference variables as critical boundary conditions. Grounded in <a href=\"https:\/\/en.wikipedia.org\/wiki\/Self-determination_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Self-Determination Theory<\/a> and recreational specialization models, the authors theorize that customer perceptions of environmental stimuli do not translate into satisfaction uniformly across all patrons. Instead, <em>recreational motivation<\/em> (ranging from casual hedonism and socialization to competitive athletic practice) and <em>golfer skill level<\/em> (novice, intermediate, advanced) moderate these structural relationships. For example, highly skilled traditional golfers may place greater weight on technological simulation accuracy and equipment reliability, whereas social-hedonic visitors are more strongly influenced by food and beverage variety, ambient music, and service responsiveness.<\/p>\n<h2>Validity<\/h2>\n<p>The psychometric validity of the instrument was tested using structural equation modeling (SEM) and rigorous construct validation methodologies on empirical data collected from active adult patrons of commercial alternative golf complexes across the United States.<\/p>\n<h3>Convergent Validity<\/h3>\n<p>Convergent validity determines the degree to which individual items operationalizing a latent construct share a high proportion of common variance. In the validation study (Hahm et al., 2023), convergent validity was demonstrated using two psychometric benchmarks:<\/p>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Standardized Factor Loadings:<\/strong> All standardized item loadings on their respective hypothesized latent constructs were statistically significant at <em>p<\/em> &lt; 0.001. Individual factor loadings spanned from 0.655 to 0.896, well above the recommended 0.50 cutoff and largely exceeding the preferred 0.70 benchmark for indicator reliability<\/span>.<\/li>\n<li><strong>Average Variance Extracted (AVE):<\/strong> The calculated AVE coefficients for all six latent constructs ranged between 0.615 and 0.691. Because every construct exceeded the strict Fornell and Larcker (1981) threshold of 0.50, the latent variables account for the majority of the variance across their corresponding measurement indicators.<\/li>\n<\/ul>\n<h3>Discriminant Validity<\/h3>\n<p>Discriminant validity assesses whether constructs intended to measure conceptually distinct theoretical concepts are statistically distinct. Discriminant validity was verified using the Fornell\u2013Larcker criterion: the squared correlation between any pair of latent constructs must be less than the AVE of each individual construct. In this instrument&#8217;s measurement model, every squared inter-construct correlation fell below the corresponding AVE values, demonstrating that constructs like <em>Activity Involvement<\/em>, <em>Customer Satisfaction<\/em>, and <em>Behavioral Intentions<\/em> reflect non-redundant, empirically distinct psychological dimensions.<\/p>\n<h3>Predictive and Nomological Validity<\/h3>\n<p>Nomological validity was established through structural path analysis. As hypothesized by the underlying theoretical framework, environmental stimuli (Physical Environment, Food &amp; Beverage, and Service Quality) exhibited direct, statistically significant positive paths to Customer Satisfaction. In turn, Customer Satisfaction demonstrated strong, positive predictive paths to both Activity Involvement and Behavioral Intentions, verifying the directional relationships specified by the extended Mehrabian\u2013Russell model.<\/p>\n<h2>Reliability<\/h2>\n<p>The scale exhibits high internal consistency and measurement precision, evidenced across both traditional Cronbach&#8217;s alpha diagnostics and composite reliability (CR) calculations:<\/p>\n<ul>\n<li><strong>Cronbach&#8217;s Alpha (\u03b1):<\/strong> Across all subscales, Cronbach&#8217;s alpha values ranged from 0.827 to 0.890. These coefficients comfortably surpass the traditional academic threshold of 0.70 (Nunnally &amp; Bernstein, 1994) and satisfy the stricter 0.80 benchmark recommended for mature, standardized diagnostic instruments.<\/li>\n<li><strong>Composite Reliability (CR):<\/strong> To account for potential variations in indicator loadings, composite reliability scores were calculated using factor analytic parameters. The resulting CR values ranged from 0.818 to 0.891, confirming that the latent indicators consistently tap their respective psychological targets without excessive measurement error.<\/li>\n<li><strong>Stability and Test-Retest Considerations:<\/strong> While structural equation field testing relies on cross-sectional survey administration, split-half and multi-group invariance tests across demographic partitions (gender, age cohorts, recreational frequency) further confirm the structural stability of the latent configuration.<\/li>\n<\/ul>\n<h2>Factor Analysis<\/h2>\n<p>A rigorous Confirmatory Factor Analysis (CFA) using maximum likelihood estimation was conducted to assess the overall structural integrity of the six-factor measurement model. The analyzed structure comprises: Physical Environment Quality (4 items), Food and Beverage Quality (4 items), Service Quality (4 items), Customer Satisfaction (3 items), Activity Involvement (3 items), and Behavioral Intentions (3 items).<\/p>\n<h3>Model Fit Diagnostics<\/h3>\n<p>The CFA results demonstrated an excellent fit between the hypothesized measurement architecture and the empirical data. All primary goodness-of-fit indices met or exceeded accepted psychometric standards:<\/p>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Chi-Square Goodness-of-Fit:<\/strong> \u03c7\u00b2 = 362.366, degrees of freedom (df) = 137, with a ratio of \u03c7\u00b2\/df = 2.645. This value sits well below the conservative upper threshold of 3.0, indicating acceptable discrepancy between the sample covariance matrix and the implied model matrix<\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Comparative Fit Index (CFI):<\/strong> CFI = 0.964, surpassing the standard 0.95 cutoff for exceptional incremental fit<\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Tucker-Lewis Index (TLI):<\/strong> TLI = 0.955, indicating that the relative improvement per degree of freedom over the null baseline is outstanding<\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Normed Fit Index (NFI):<\/strong> NFI = 0.944, exceeding the conventional 0.90 threshold<\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Root Mean Square Error of Approximation (RMSEA):<\/strong> RMSEA = 0.058, with a 90% confidence interval falling well within the acceptable upper boundary of 0.08, confirming minimal residual error<\/span>.<\/li>\n<\/ul>\n<h3>Factor Loadings and Parameter Overview<\/h3>\n<p>All 21 manifest items loaded robustly and significantly on their designated latent factors. Parameter estimations demonstrated that bay aesthetics and interactive tracking reliability are primary anchors for physical environment quality; menu diversity and sensory taste appeal anchor food and beverage quality; and employee responsiveness and dependability anchor service quality. No substantial cross-loadings or modification index anomalies were detected, confirming that the six latent constructs operate as distinct structural entities.<\/p>\n<h2>Instrument \/ Measurement Tool<\/h2>\n<ul>\n<li><strong>Instrument Name:<\/strong> Environmental Stimuli, Satisfaction, and Behavioral Intentions in the Alternative Golf Context Model Questionnaire<\/li>\n<li><strong>Constructs Measured:<\/strong> Physical Environment Quality, Food and Beverage Quality, Service Quality, Customer Satisfaction, Activity Involvement, Behavioral Intentions<\/li>\n<li><strong>Test Type:<\/strong> Standardized self-report psychometric inventory \/ survey questionnaire<\/li>\n<li><strong>Target Population:<\/strong> Adult consumers (aged 18 years and older) who patronize commercial alternative golf, driving range entertainment, or digital golf simulation venues<\/li>\n<li><strong>Administration Format:<\/strong> Standardized electronic survey (web-based, tablet kiosk, or mobile post-visit feedback interface) or self-administered printed questionnaire<\/li>\n<li><strong>Total Item Count:<\/strong> 21 items<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Response Scale:<\/strong> 7-point Likert scale (1 = Strongly Disagree, 2 = Disagree, 3 = Somewhat Disagree, 4 = Neutral \/ Neither Agree nor Disagree, 5 = Somewhat Agree, 6 = Agree, 7 = Strongly Agree)<\/span><\/li>\n<li><strong>Subscale Structural Breakdown:<\/strong>\n<ul>\n<li><em>Physical Environment Quality:<\/em> Items 1, 2, 3, 4<\/li>\n<li><em>Food and Beverage Quality:<\/em> Items 5, 6, 7, 8<\/li>\n<li><em>Service Quality:<\/em> Items 9, 10, 11, 12<\/li>\n<li><em>Customer Satisfaction:<\/em> Items 13, 14, 15<\/li>\n<li><em>Activity Involvement:<\/em> Items 16, 17, 18<\/li>\n<li><em>Behavioral Intentions:<\/em> Items 19, 20, 21<\/li>\n<\/ul>\n<\/li>\n<li><strong>Scoring and Computational Rules:<\/strong>\n<ul>\n<li>All items are worded positively; no reverse scoring is required.<\/li>\n<li>Individual dimension scores are computed by calculating the arithmetic mean of the items comprising each respective subscale (ranging from 1.00 to 7.00).<\/li>\n<li>Higher mean scores in the environmental dimensions (Physical Environment, Food and Beverage, Service Quality) indicate superior servicescape appraisal.<\/li>\n<li>Scores on Customer Satisfaction, Activity Involvement, and Behavioral Intentions above 5.00 generally denote positive customer affective states, high recreational attachment, and a strong likelihood of re-patronage and positive advocacy.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Permissions &amp; Fee and Test Year<\/h2>\n<p>The scale was developed, validated, and published in <strong>2023<\/strong> by Jeeyeon Jeannie Hahm, David J. Kwun, and Juhee Kang. It was introduced in their empirical study published in the <em>International Journal of Hospitality Management<\/em>.<\/p>\n<p><strong>Licensing and Academic Access:<\/strong> The scale is open for non-commercial research, academic inquiry, higher-education teaching, and institutional evaluation. Academic researchers may utilize, reproduce, and adapt the items for scientific investigations without royalty fees, provided full academic attribution is granted through citation of the original source publication. Commercial market-research implementations, brand consultancy applications, or automated software integrations should reference the published literature or establish contact with the corresponding author (<a href=\"mailto:Jeeyeon.Hahm@ucf.edu\">Jeeyeon.Hahm@ucf.edu<\/a>) regarding intellectual property permissions.<\/p>\n<h2>References<\/h2>\n<ul>\n<li>Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. <em>Journal of Marketing<\/em>, 56(2), 57\u201371. <a href=\"https:\/\/doi.org\/10.1177\/002224299205600205\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224299205600205<\/a><\/li>\n<li>Fornell, C., &amp; Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. <em>Journal of Marketing Research<\/em>, 18(1), 39\u201350. <a href=\"https:\/\/doi.org\/10.1177\/002224378101800104\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378101800104<\/a><\/li>\n<li>Hahm, J. J., Kwun, D. J., &amp; Kang, J. (2023). Analysis of environmental stimuli, satisfaction, and behavioral responses: An extended Mehrabian-Russell model to alternative golf. <em>International Journal of Hospitality Management<\/em>, 109, Article 103407. <a href=\"https:\/\/doi.org\/10.1016\/j.ijhm.2022.103407\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/j.ijhm.2022.103407<\/a><\/li>\n<li>Havitz, M. E., &amp; Dimanche, F. (1997). Propositions for testing the involvement construct in recreational and tourism contexts. <em>Leisure Sciences<\/em>, 19(4), 245\u2013262. <a href=\"https:\/\/doi.org\/10.1080\/01490409709512255\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/01490409709512255<\/a><\/li>\n<li>Mehrabian, A., &amp; Russell, J. A. (1974). <em>An approach to environmental psychology<\/em>. The MIT Press.<\/li>\n<li>Nunnally, J. C., &amp; Bernstein, I. H. (1994). <em>Psychometric theory<\/em> (3rd ed.). McGraw-Hill.<\/li>\n<li>Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. <em>Journal of Marketing Research<\/em>, 17(4), 460\u2013469. <a href=\"https:\/\/doi.org\/10.1177\/002224378001700405\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378001700405<\/a><\/li>\n<li>Parasuraman, A., Zeithaml, V. A., &amp; Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. <em>Journal of Retailing<\/em>, 64(1), 12\u201340.<\/li>\n<\/ul>\n<h2>Items of the Scale<\/h2>\n<div class=\"wpt-scale-notice\" style=\"direction:ltr; text-align:left; background:#f8fafc; border-bottom:1px solid #e2e8f0; padding:14px 20px; font-size:13.5px; color:#475569; font-weight:500;\">\n  Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:\n<\/div>\n<div class=\"wpt-scale-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<p><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Response Scale:<\/strong> 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree)<\/span><\/p>\n<h3>Physical Environment Quality<\/h3>\n<ol start=\"1\">\n<li>The facility provides modern and visually appealing golf simulator\/driving range bays.<\/li>\n<li>The facility has high-quality golf equipment and technology tracking systems.<\/li>\n<li>The overall ambiance and atmosphere of the facility are pleasant and comfortable.<\/li>\n<li>The facility is clean and well-maintained.<\/li>\n<\/ol>\n<h3>Food and Beverage Quality<\/h3>\n<ol start=\"5\">\n<li>The facility offers a wide variety of food and beverage options.<\/li>\n<li>The quality of food and beverages meets my expectations.<\/li>\n<li>The food and beverages offered are tasty and fresh.<\/li>\n<li>The food and beverage services provide good value for the price.<\/li>\n<\/ol>\n<h3>Service Quality<\/h3>\n<ol start=\"9\">\n<li>The employees are friendly and courteous.<\/li>\n<li>The employees are knowledgeable and respond promptly to customer requests.<\/li>\n<li>The employees deliver reliable and consistent customer service.<\/li>\n<li>The facility provides an efficient and smooth check-in and bay-reservation process.<\/li>\n<\/ol>\n<h3>Customer Satisfaction<\/h3>\n<ol start=\"13\">\n<li>I am very satisfied with my overall experience at this alternative golf facility.<\/li>\n<li>My decision to visit this facility was a wise one.<\/li>\n<li>Visiting this facility was a pleasurable and enjoyable experience.<\/li>\n<\/ol>\n<h3>Activity Involvement<\/h3>\n<ol start=\"16\">\n<li>Playing golf at this facility is an important part of my leisure activities.<\/li>\n<li>I find alternative golf activities at this facility to be personally meaningful.<\/li>\n<li>Alternative golf is one of the most satisfying leisure activities in my life.<\/li>\n<\/ol>\n<h3>Behavioral Intentions<\/h3>\n<ol start=\"19\">\n<li>I intend to revisit this alternative golf facility in the near future.<\/li>\n<li>I will recommend this alternative golf facility to my friends and family.<\/li>\n<li>I will say positive things about this alternative golf facility to other people.<\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A psychometric review of the Environmental Stimuli, Satisfaction, and Behavioral Intentions Model Questionnaire in alternative golf, evaluating servicescapes, satisfaction, and loyalty.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,3428,2,14883],"tags":[23633,23634,2402,2343,23635,23636,23637,3445,2324,3179],"class_list":["post-7914","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-hospitality-management","category-psychometrics","category-sports-science","tag-activity-involvement","tag-alternative-golf","tag-behavioral-intentions","tag-customer-satisfaction","tag-environmental-stimuli","tag-food-and-beverage-quality","tag-mehrabian-russell-model","tag-physical-environment","tag-service-quality","tag-servicescape"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/7914","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7914"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/7914\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7914"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7914"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}