Canonical: https://www.playbookrg.com/brand/book/theoretical-foundations/ Description: The research behind the system: Positive Play, belief recalibration, reasoned action, and the scope of the claim. > Static reading copy of the published page, including authored disclosures. Interactive controls, personalized state, and account data are not reproduced. Use the canonical page for interaction and citations, and the dedicated content feeds for complete resource inventories. Source terms still apply; this format does not extend the Brand CC0 license to other products or third-party material. # Theoretical foundations The research behind the system: Positive Play, belief recalibration, reasoned action, and the scope of the claim. 20 min read · Free to copy and adapt · CC0 Revised September 6, 2026. Research findings, design intentions and untested outcomes separated. References share the Evidence page’s metadata and access limits; links return to the claims that cite them. [Download this chapter (.md)]() On this page 13 sections > The research that informs Playbook, the design choices it motivates, and the outcomes that still need testing. ## Why this chapter exists This chapter explains Playbook’s proposed theory of change. It separates findings from other settings, conceptual arguments, editorial decisions and questions for a future evaluation. No Playbook-specific outcome study is presented here establishing lasting literacy gains, improved Positive Play scores or reduced gambling harm. Read the [Evidence overview]() for a shorter research-to-resource guide. In this chapter, citations lead to full reference entries with evidence types, access limits and links back to the sections that use them. A linked publication is not an endorsement of Playbook, and a design rationale is not an effectiveness result. Practitioner experience can inform choices about placement, staff practice and local review. Whether those choices work in a particular setting still needs observation and testing. The [authorship note]() distinguishes the creator’s background from evidence about this product. ## 1. The problem Playbook addresses **Research contribution.** A study of GameSense at one operator’s US casino properties used three repeated cross-sectional samples of loyalty-program members. Awareness increased after introduction, then did not rise further at the next wave; relationships with reported strategies and literacy varied. These samples do not establish a universal uptake rate or show that every responsible-gambling program fails for the same reason. [Louderback et al. (2023)]() Technology-acceptance research examines perceived usefulness and ease of use in information systems. Applying that lens to player information is a design inference, rather than a diagnosis established for every gambling resource. [Davis (1989)]() A later Positive Play reply makes a conceptual case for reconsidering responsible-gambling language and outcomes; it is not a new intervention trial. [Wood et al. (2024)]() **Playbook’s design choice.** Put a relevant explanation where a player has a question, use familiar language and make the next information or support action easy to find. For example, inspect the [game-information poster](). **What to test.** Can the intended readers find it, understand it and use its next step? Views, downloads and clicks can describe reach or interest. They do not establish improved decisions or reduced harm. ## 2. Conceptual home: Positive Play **Research contribution.** The public-health perspective treats gambling as a population concern, while the Reno Model sets out responsible-gambling principles and stakeholder responsibilities. These are frameworks, not evaluations of Playbook. [Korn & Shaffer (1999)]() [Blaszczynski, Ladouceur, & Shaffer (2004)]() Research on Positive Play examines player experiences and practices; the later conceptual reply argues for an outcome-oriented approach. [Wood & Griffiths (2015)]() [Wood et al. (2024)]() The Positive Play Scale (PPS) was developed as four related self-report subscales, with subsequent Canadian validation work. [Wood et al. (2017)]() [Tabri et al. (2020)]() The following are brief descriptions, not instrument items or a scoring guide: - **Personal responsibility:** beliefs about responsibility for one’s gambling decisions. Operator responsibilities remain essential. - **Gambling literacy:** beliefs about how gambling works and its prospects as a way to make money. - **Honesty and control:** reported openness about play and staying within affordable time and spending. - **Pre-commitment:** reported consideration of affordable time and money before gambling. The Canadian Problem Gambling Index includes the Problem Gambling Severity Index (PGSI). It measures a different purpose from the PPS; a screening score is not a clinical diagnosis. [Ferris & Wynne (2001)]() A cross-sectional study examines Positive Play alongside harms and benefits. Its associations do not show that increasing a PPS score causes harm reduction. [Delfabbro, King, & Georgiou (2020)]() **Playbook’s design choice.** Pair accurate game information with explanations of limits and support. Record which learning objective each resource is intended to serve; the existence of a scale does not prove that every resource has been mapped or evaluated. **What to test.** Select and justify measures for a named resource and audience. Relevant PPS subscales are candidates, alongside comprehension tasks and appropriate behavioral measures. Do not substitute a favorable self-report score for evidence about later harms. Several PPS sources include Playbook’s creator as a coauthor; those references are labeled below. ## 3. Proximal mechanism: belief recalibration **Research contribution.** Philander and Gainsbury use an instrumental-variable analysis of survey data and a prospective longitudinal analysis to examine the proposed relationship between gambling beliefs and problems. These are methods for non-experimental causal inference, whose interpretation depends on their assumptions. The publisher abstract supports this description; the full paper was not available in this review. [Philander & Gainsbury (2023)]() The Pathways Model provides a separate conceptual account of different routes into gambling problems. [Blaszczynski & Nower (2002)]() The overconfidence paper combines a secondary survey analysis with laboratory research that randomized machine and labeling conditions. It reports a relationship between overconfidence in understanding electronic gaming machines and attitudes toward them. Randomizing those conditions does not turn the overconfidence–attitude association into proof that an educational resource changes later gambling. [Philander & Gainsbury (2021)]() **Playbook’s design choice.** Explain a misconception using a specific rule and example. State the conditions under which outcomes are independent rather than treating every game as identical. The [independent-spins quiz card]() is one application to inspect. **What to test.** Ask readers to apply the explanation to a new example, then check retention at an appropriate later point. Belief change, a correct quiz answer and a change in loss chasing are different outcomes and require different evidence. ## 4. Behavior pathway: Theory of Reasoned Action **Research contribution.** The Theory of Reasoned Action connects beliefs, attitudes, subjective norms and intentions. The Theory of Planned Behavior adds perceived behavioral control. These theories describe proposed relationships; they do not establish that every intention becomes action. [Fishbein & Ajzen (1975)]() [Ajzen (1991)]() A gambling study found that attitudes and perceived norms predicted stated intention to play random and skill-based electronic machines in two samples. Its outcome was intention to play, not observed behavior change following Playbook content. [Gainsbury, Philander, & Grattan (2020)]() **Playbook’s design choice.** Connect a useful explanation to a concrete next step. A [deposit-limit email](), for example, should identify where the relevant settings are available and describe their actual conditions. Characters, peer language and prompts are editorial choices to evaluate. **What to test.** Distinguish finding the setting, understanding it, intending to use it and actually using it. Measure the intended action with a suitable comparison and follow-up before claiming the design changed behavior. ## 5. Design rationale: customized, positively framed, segmented messaging **Research contribution.** A review and four focus groups with 39 participants explored preferences for responsible-gambling messages. Participants discussed wording and tools, including clear and non-judgmental language. Their preferences do not demonstrate actual uptake, lasting behavior change or reduced harm. [Gainsbury et al. (2018)]() Prospect Theory concerns decision-making under risk. [Kahneman & Tversky (1979)]() A health-communication review discusses gain and loss framing, while a meta-analysis finds a small average effect of tailored print health interventions with variation across study conditions. These sources do not establish a universal ranking of gambling messages. [Rothman et al. (2006)]() [Noar, Benac, & Harris (2007)]() Service-Dominant Logic offers a conceptual account of how people participate in creating value through services. Applying it to resource design is a rationale for involving readers, not evidence that self-appraisal outperforms instruction. [Vargo & Lusch (2004)]() **Playbook’s design choice.** Use plain language, relevant examples and a tone people can approach without first identifying themselves as having a problem. Invite feedback while keeping risks, odds and operator responsibilities clear. Adapt language and format through actual audience review rather than assuming a demographic label predicts everyone’s needs. **What to test.** Compare candidate messages for comprehension, relevance, task completion and unintended interpretations. The [content-testing scorecard]() can structure feedback; its scores are not validated harm-reduction thresholds. Do not publish a claim that positive framing, segmentation or character-led messaging is more effective for Playbook until the relevant comparison has been conducted. ## 6. Scope of claim **Research contribution.** The Pathways Model proposes behaviorally conditioned, emotionally vulnerable and antisocial-impulsivist routes into gambling problems. It does not test Playbook or justify ranking this product’s effectiveness across those groups. [Blaszczynski & Nower (2002)]() The Reno Model includes stakeholder responsibilities and access to treatment within its framework. [Blaszczynski, Ladouceur, & Shaffer (2004)]() **Playbook’s design choice.** Keep education within its purpose. Provide clear game information, make support routes visible and prepare staff for an appropriate handoff when someone needs more than an explanation. Inspect the [support contact card](), and replace example contact details with verified local routes before use. **What to test.** Check that readers can distinguish education, operator protections and support. No clinical treatment effect, subgroup efficacy ranking or population-level harm reduction is established here. A player’s understanding does not remove an operator’s responsibilities or the need for effective protections and professional care. ## 7. System-level rationale: channelization **Research contribution.** A policy letter argues for considering licensed-market participation together with the protections available there. The author’s index lists it as accepted; a final issue and DOI were not established in this review. The letter analyzes no new data. [Simeon-Rose (2026)]() A separate online-poker choice experiment addresses preferences for government oversight. Its publication record is identified, but the publisher’s full text was inaccessible in this review. Stated choices about regulation do not measure actual market share or the effect of adding Playbook to a licensed service. [Philander & Wimmer (2025)]() **Playbook’s design choice.** Explain the games and protections available in a particular licensed setting. Treat any proposed contribution to consumer trust or market choice as a research question. The [regulator overview]() describes how to inspect the materials. **What to test.** Define the market, product, population, denominator and observation period before comparing market estimates. Do not infer an increase in licensed-market participation from downloads, message preference or willingness to pay for regulation. This chapter makes no quantitative claim about Playbook’s channelization effect. ## 8. Practice layer: operator culture **Research contribution.** A New Horizons practitioner report discusses organizational culture and responsible-gambling practice. [Philander (2020)]() The Service-Profit Chain is a general management framework, while absorptive capacity is an organizational-learning theory; applying them to Playbook rollout is a design inference. The latter source’s full text was inaccessible in the earlier review, so its reference links to an institutional bibliography. [Heskett et al. (2008)]() [Cohen & Levinthal (1990)]() The author’s bibliography also identifies a study of RG Check accredited venues. Publisher full text was inaccessible; this chapter therefore does not assert detailed sample sizes, score trends or causal explanations from it. [Philander (2023)]() Accreditation of an operator’s practices would in any event answer a different question from the effectiveness of a particular player resource. **Playbook’s design choice.** Assign an owner to each placement, rehearse the staff response, record the local review and keep the resource version with the deployment record. Teams can adapt the published baseline or integrate selected materials with an existing brand. The [illustrative rollout]() gives a worked example of responsibilities, rather than a report of an actual implementation. **What to test.** Record delivery, staff understanding, available support, implementation differences and later changes alongside player outcomes. Whether organizational capacity explains differences between deployments remains a question to investigate. The creator’s involvement in earlier research or programs is a relevant disclosure, not independent validation of Playbook. ## 9. Evidentiary status: claims and open questions - **Supported at the sources’ stated scope:** the cited literature includes observed associations, message preferences, measurement development, theories and practitioner arguments. The sections above identify which kind contributes to each discussion and where access limits constrain the description. - **Design intentions:** make information easier to find and understand, connect it to a practical action, include readers in message development and give implementation a named owner. - **Untested Playbook outcomes:** lasting literacy gains, changes in relevant PPS subscales, observed use of limits, reduced loss chasing or overspending, reduced gambling harm, and effects on licensed-market participation. Naming an intended outcome does not establish it. - **Evidence needed:** evaluate a named resource version with a defined audience, suitable comparison, justified measures and sample, appropriate follow-up, and records of delivery and missing data. Separate planned analyses from exploratory subgroup findings. - **Reasons to revise:** record misunderstandings, unintended encouragement to gamble, lack of benefit and unfavorable findings as well as useful results. A new result should change only the claims it actually supports. The [proposed evaluation worksheet]() describes planning questions. It is not a registered protocol, recruitment announcement or completed study. A real study needs its own agreed method, consent and data arrangements, appropriate review and public account of findings. ## Logic model This model maps a proposed evaluation sequence. Its outcome stages are questions, including the possibility of no benefit or adverse effects. Moving from one stage to the next does not assert that a Playbook resource has produced an outcome. Licensed-market effects would require an additional study with an appropriate market-level design; they are not an automatic final step in a player-literacy study. Follow the stages in order as a proposed study sequence. Every transition needs evidence; exposure, comprehension or a higher score alone does not establish a later behavioral or harm outcome. 1. 1. Planned resources ### Inputs - Named content and version - Staff practice and local support routes - Study plan and suitable measures 2. 2. Record actual delivery ### Activities - Show the resource in its intended setting - Rehearse the staff response - Record exposure and implementation 3. 3. Questions to test ### Understanding - Can readers explain the message? - Can they apply it to a new example? - Can they find the intended action? 4. 4. Questions to test ### Action - Does observed behavior change? - What happens to relevant PPS subscales? - Are there unintended effects? 5. 5. Questions to test ### Lasting outcomes - Does any change persist? - What happens to gambling-related harms? - What implementation conditions matter? Proposed evaluation stages. [Download the chapter and model]() ## About this work Playbook’s creator is **Kahlil Simeon-Rose**, who published the earlier research cited here as **Philander**. The [authorship and experience note]() links the public project and professional records. Individual references retain the author names printed on their publications. References authored or coauthored by the creator are labeled. Consult each paper for its own funding and conflict disclosures; a creator label does not replace those disclosures. Earlier employment, program development and advisory work provide context for the design. They do not establish adoption, endorsement or evaluated outcomes for Playbook. ## References These references use the same records as the [Evidence page](). Years reflect final publication issues where established, with earlier online dates noted. Links lead to the publication or an identified primary bibliographic record. Access limits remain explicit; this is a design-source review, not a systematic review of gambling interventions. ### Davis (1989) Davis, F. D. (1989). [Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology](). MIS Quarterly, 13(3), 319–340. doi:10.2307/249008 **Evidence type:** Information-systems research. **Scope and access:** Studies technology acceptance. Applying usefulness and ease of use to player information is a design inference. [Return to 1. The problem Playbook addresses]() [Read the related Evidence discussion]() ### Wood et al. (2024) Wood, R. T. A., Wohl, M. J. A., Tabri, N., & Philander, K. (2024). [Responsible Gambling as an Evolving Concept and the Benefits of a Positive Play Approach: A Reply to Shaffer et al.](). Journal of Gambling Studies, 40(4), 1779–1786. doi:10.1007/s10899-023-10245-8. Online 2023. **Evidence type:** Conceptual reply. **Creator author/coauthor.** **Scope and access:** Argues for the Positive Play approach; it is not a new intervention trial. [Return to 1. The problem Playbook addresses]() · [Return to 2. Conceptual home: Positive Play]() [Read the related Evidence discussion]() ### Louderback et al. (2023) Louderback, E. R., LaPlante, D. A., Abarbanel, B., Kraus, S. W., Bernhard, B. J., & Gray, H. M. (2023). [Examining Responsible Gambling Program Awareness and Engagement Trends and Relationships with Gambling Beliefs and Behaviors: A Three-Wave Study of Customers from a Major Gambling Operator](). Journal of Gambling Studies, 39(1), 401–429. doi:10.1007/s10899-022-10109-7. Online 2022. **Evidence type:** Repeated cross-sectional surveys. **Scope and access:** Three customer samples from one operator. Awareness, use and belief associations do not establish program effects or universal uptake rates. [Return to 1. The problem Playbook addresses]() [Read the related Evidence discussion]() ### Korn & Shaffer (1999) Korn, D. A., & Shaffer, H. J. (1999). [Gambling and the Health of the Public: Adopting a Public Health Perspective](). Journal of Gambling Studies, 15(4), 289–365. doi:10.1023/A:1023005115932 **Evidence type:** Public-health framework. **Scope and access:** Frames gambling as a population-health concern. It does not evaluate Playbook. [Return to 2. Conceptual home: Positive Play]() [Read the related Evidence discussion]() ### Blaszczynski, Ladouceur, & Shaffer (2004) Blaszczynski, A., Ladouceur, R., & Shaffer, H. J. (2004). [A Science-Based Framework for Responsible Gambling: The Reno Model](). Journal of Gambling Studies, 20(3), 301–317. doi:10.1023/B:JOGS.0000040281.49444.e2 **Evidence type:** Policy framework. **Scope and access:** Sets out principles and stakeholder responsibilities; this is a conceptual foundation. [Return to 2. Conceptual home: Positive Play]() · [Return to 6. Scope of claim]() [Read the related Evidence discussion]() ### Wood & Griffiths (2015) Wood, R. T. A., & Griffiths, M. D. (2015). [Understanding Positive Play: An Exploration of Playing Experiences and Responsible Gambling Practices](). Journal of Gambling Studies, 31(4), 1715–1734. doi:10.1007/s10899-014-9489-7. Online 2014. **Evidence type:** Comparative survey. **Scope and access:** Examines reported playing experiences and practices. Group differences are not evidence of an intervention effect. [Return to 2. Conceptual home: Positive Play]() [Read the related Evidence discussion]() ### Wood et al. (2017) Wood, R. T. A., Wohl, M. J. A., Tabri, N., & Philander, K. (2017). [Measuring Responsible Gambling amongst Players: Development of the Positive Play Scale](). Frontiers in Psychology, 8, 227. doi:10.3389/fpsyg.2017.00227 **Evidence type:** Scale development and validation. **Creator author/coauthor.** **Scope and access:** Develops four self-report subscales. Validating a measure does not establish that Playbook improves its scores. [Return to 2. Conceptual home: Positive Play]() [Read the related Evidence discussion]() ### Tabri et al. (2020) Tabri, N., Wood, R. T. A., Philander, K., & Wohl, M. J. A. (2020). [An examination of the validity and reliability of the Positive Play Scale: findings from a Canadian national study](). International Gambling Studies, 20(2), 282–295. doi:10.1080/14459795.2020.1732442 **Evidence type:** National scale-validation survey. **Creator author/coauthor.** **Scope and access:** Examines reliability and validity in a Canadian sample; it does not test a Playbook resource. [Return to 2. Conceptual home: Positive Play]() [Read the related Evidence discussion]() ### Ferris & Wynne (2001) Ferris, J., & Wynne, H. (2001). [The Canadian Problem Gambling Index: Final Report](). Report to the Canadian Centre on Substance Abuse, February 19, 2001. **Evidence type:** Measurement-development report. **Scope and access:** Introduces the CPGI, which includes the PGSI severity measure. A screening score is not a clinical diagnosis. [Return to 2. Conceptual home: Positive Play]() [Read the related Evidence discussion]() ### Delfabbro, King, & Georgiou (2020) Delfabbro, P., King, D. L., & Georgiou, N. (2020). [Positive play and its relationship with gambling harms and benefits](). Journal of Behavioral Addictions, 9(2), 363–370. doi:10.1556/2006.2020.00041 **Evidence type:** Cross-sectional survey. **Scope and access:** Examines relationships between positive play and harms. Associations do not show that raising a scale score causes harm reduction. [Return to 2. Conceptual home: Positive Play]() [Read the related Evidence discussion]() ### Philander & Gainsbury (2023) Philander, K. S., & Gainsbury, S. M. (2023). [An Empirical Study of the Pathway Model Link Between Cognitive Distortions and Gambling Problems](). Journal of Gambling Studies, 39(3), 1189–1205. doi:10.1007/s10899-022-10166-y. Online 2022. **Evidence type:** Observational survey and longitudinal model estimation. **Creator author/coauthor.** **Scope and access:** The publisher abstract describes instrumental-variable and prospective analyses. Full text was not available in this review. Non-experimental causal inference depends on model assumptions; this is not a randomized literacy intervention. [Return to 3. Proximal mechanism: belief recalibration]() [Read the related Evidence discussion]() ### Blaszczynski & Nower (2002) Blaszczynski, A., & Nower, L. (2002). [A pathways model of problem and pathological gambling](). Addiction, 97(5), 487–499. doi:10.1046/j.1360-0443.2002.00015.x **Evidence type:** Conceptual model and review. **Scope and access:** Proposes different routes into gambling problems. It does not rank Playbook’s effectiveness across groups. [Return to 3. Proximal mechanism: belief recalibration]() · [Return to 6. Scope of claim]() [Read the related Evidence discussion]() ### Philander & Gainsbury (2021) Philander, K. S., & Gainsbury, S. M. (2021). [Overconfidence in Understanding of How Electronic Gaming Machines Work Is Related to Positive Attitudes](). Frontiers in Psychology, 11, 609731. doi:10.3389/fpsyg.2020.609731. Published January 12, 2021. **Evidence type:** Secondary survey analysis and randomized laboratory conditions. **Creator author/coauthor.** **Scope and access:** Studies knowledge, confidence and attitudes, including randomized machine and labeling conditions in the laboratory. The overconfidence–attitude association is not itself a randomized treatment effect or a test of Playbook. [Return to 3. Proximal mechanism: belief recalibration]() [Read the related Evidence discussion]() ### Fishbein & Ajzen (1975) Fishbein, M., & Ajzen, I. (1975). [Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research](). Addison-Wesley, Reading, Massachusetts. **Evidence type:** Behavioral theory book. **Scope and access:** The Theory of Reasoned Action is a proposed explanatory pathway, not evidence that every change in intention becomes action. [Return to 4. Behavior pathway: Theory of Reasoned Action]() [Read the related Evidence discussion]() ### Ajzen (1991) Ajzen, I. (1991). [The theory of planned behavior](). Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T **Evidence type:** Behavioral theory review. **Scope and access:** Extends the intention model with perceived behavioral control; it is not a Playbook evaluation. [Return to 4. Behavior pathway: Theory of Reasoned Action]() [Read the related Evidence discussion]() ### Gainsbury, Philander, & Grattan (2020) Gainsbury, S. M., Philander, K. S., & Grattan, G. (2020). [Predicting Intention to Play Random and Skill-based Electronic Gambling Machines Using the Theory of Reasoned Action](). Journal of Gambling Studies, 36(4), 1267–1282. doi:10.1007/s10899-019-09915-3. Online 2019. **Evidence type:** Post-exposure surveys. **Creator author/coauthor.** **Scope and access:** Attitudes and perceived norms predicted stated intention in two samples. The outcome was intention to play, not observed behavior change. [Return to 4. Behavior pathway: Theory of Reasoned Action]() [Read the related Evidence discussion]() ### Gainsbury et al. (2018) Gainsbury, S. M., Abarbanel, B. L. L., Philander, K. S., & Butler, J. V. (2018). [Strategies to customize responsible gambling messages: a review and focus group study](). BMC Public Health, 18, 1381. doi:10.1186/s12889-018-6281-0 **Evidence type:** Review and qualitative focus groups. **Creator author/coauthor.** **Scope and access:** Four groups, 39 participants, discussed message preferences. This was not a trial of actual tool use or harm reduction. [Return to 5. Design rationale: customized, positively framed, segmented messaging]() [Read the related Evidence discussion]() ### Kahneman & Tversky (1979) Kahneman, D., & Tversky, A. (1979). [Prospect Theory: An Analysis of Decision under Risk](). Econometrica, 47(2), 263–292. doi:10.2307/1914185 **Evidence type:** Decision theory. **Scope and access:** Explains choices under risk; it does not establish which gambling-education message works best. Link opens the publisher’s issue contents. [Return to 5. Design rationale: customized, positively framed, segmented messaging]() [Read the related Evidence discussion]() ### Rothman et al. (2006) Rothman, A. J., Bartels, R. D., Wlaschin, J., & Salovey, P. (2006). [The Strategic Use of Gain- and Loss-Framed Messages to Promote Healthy Behavior: How Theory Can Inform Practice](). Journal of Communication, 56(suppl. 1), S202–S220. doi:10.1111/j.1460-2466.2006.00290.x **Evidence type:** Health-communication theory and review. **Scope and access:** Discusses framing in health contexts. Effects depend on the behavior and setting; transfer to gambling education needs testing. [Return to 5. Design rationale: customized, positively framed, segmented messaging]() [Read the related Evidence discussion]() ### Noar, Benac, & Harris (2007) Noar, S. M., Benac, C. N., & Harris, M. S. (2007). [Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions](). Psychological Bulletin, 133(4), 673–693. doi:10.1037/0033-2909.133.4.673 **Evidence type:** Meta-analysis of health interventions. **Scope and access:** Finds a small average tailoring effect across health studies, with variation. It is not a gambling-specific or Playbook estimate. [Return to 5. Design rationale: customized, positively framed, segmented messaging]() [Read the related Evidence discussion]() ### Vargo & Lusch (2004) Vargo, S. L., & Lusch, R. F. (2004). [Evolving to a New Dominant Logic for Marketing](). Journal of Marketing, 68(1), 1–17. doi:10.1509/jmkg.68.1.1.24036 **Evidence type:** Conceptual marketing framework. **Scope and access:** Service-Dominant Logic informs participation in service design. It does not prove that self-appraisal outperforms instruction. [Return to 5. Design rationale: customized, positively framed, segmented messaging]() [Read the related Evidence discussion]() ### Simeon-Rose (2026) Simeon-Rose, K. (2026). [The Case for the Channelization Model as the Predominant Framework in Online Gambling Regulation](). International Gambling Studies, accepted according to the author’s research index. Linked manuscript: letter to the editor; final issue/DOI not established in this review. **Evidence type:** Accepted policy argument / letter. **Creator author/coauthor.** **Scope and access:** Analyzes no new data. The argument about licensed-market protections does not establish a Playbook effect on market choice. [Return to 7. System-level rationale: channelization]() [Read the related Evidence discussion]() ### Philander & Wimmer (2025) Philander, K. S., & Wimmer, B. S. (2025). [Playing by the rules: Government regulation and consumer trust in the online poker industry](). Computers in Human Behavior Reports, 17, 100599. doi:10.1016/j.chbr.2025.100599 **Evidence type:** Stated-choice experiment. **Creator author/coauthor.** **Scope and access:** The author’s record describes an online-poker choice experiment. The publisher record and DOI were identified, but full text was inaccessible in this review. Stated choices do not measure actual channelization or a Playbook effect. [Return to 7. System-level rationale: channelization]() [Read the related Evidence discussion]() ### Philander (2020) Philander, K. S. (2020). [Future-Proofing the Industry: Organizational Culture and Responsible Gambling](). GP Consulting report prepared for the New Horizons conference, March 10–12, 2020. **Evidence type:** Conference / practitioner report. **Creator author/coauthor.** **Scope and access:** Discusses organizational practice. It is not presented here as a peer-reviewed intervention evaluation. [Return to 8. Practice layer: operator culture]() [Read the related Evidence discussion]() ### Heskett et al. (2008) Heskett, J. L., Jones, T. O., Loveman, G. W., Sasser, W. E., Jr., & Schlesinger, L. A. (2008). [Putting the Service-Profit Chain to Work](). Harvard Business Review, July–August 2008, classic reprint R0807L; original 1994. **Evidence type:** Practitioner management article. **Scope and access:** General service-management framework; not a gambling-education trial. [Return to 8. Practice layer: operator culture]() [Read the related Evidence discussion]() ### Philander (2023) Philander, K. S. (2023). [Do third-party responsible gambling assurance programs lead to performance improvements? Evidence from RG Check accredited venues](). UNLV Gaming Research & Review Journal, 27(1), article 4. Title and issue checked against the author’s bibliography. **Evidence type:** Accreditation-performance study; access limited. **Creator author/coauthor.** **Scope and access:** Publisher full text was inaccessible during this review. No detailed sample or score finding from this paper is asserted here. [Return to 8. Practice layer: operator culture]() [Read the related Evidence discussion]() ### Cohen & Levinthal (1990) Cohen, W. M., & Levinthal, D. A. (1990). [Absorptive capacity: A new perspective on learning and innovation](). Administrative Science Quarterly, 35(1), 128–152. doi:10.2307/2393553 **Evidence type:** Organizational-learning theory. **Scope and access:** The link is the author’s institutional bibliography; full text was inaccessible. Its application to operator rollout is a design inference. [Return to 8. Practice layer: operator culture]() [Read the related Evidence discussion]()