A Case Study of LightStay (2010–2017)—Hilton’s Corporate Responsibility Management System
Abstract
:1. Introduction
2. Theoretical Background
2.1. Environmental Knowledge and Organisational Learning
2.2. Sustainability in the Hotel Industry
2.3. Measuring and Reporting Sustainability: the Nature of the Challenge
2.4. The characteristics of an SPMS
2.5. Specificity of Measuring and Reporting Sustainability in Hotels
3. Research Method
4. Results: A Case Study of LightStay
4.1. Evolution of LightStay
4.2. Features of LightStay
4.3. Opinions of Users and Evaluators
5. Discussion
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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“Ideal” SPMS | Challenges | Hilton’s LightStay (2010–2017) |
---|---|---|
(1) Engagement of all (ownership, management and operation) parties through stakeholder and managerial support as well as endorsement at all levels within the company. | (1) Multiple stakeholders involved in a single asset (i.e., property), such as an owner, a management company and an operator, with varying priorities. | (1) Sustainability reporting—a brand standard (critical for the success in a franchised portfolio); an ongoing reference to the importance of activating Hilton’s CR strategy (i.e., TwP) by top management in meetings, intranet forums and on social media; organisational and brand targets measured through LightStay. |
(2) All relevant internal stakeholders not only have a good understanding of the system, but also possess general green knowledge. | (2) High labour turnover (typical of the entire hotel industry) means there is a constant need for specialist training provision and green awareness raising. | (2) eLearning and other forms of support; documents available in local languages; engagement of individuals through activation of TwP initiatives. However, support should be provided for those who struggle with timely and accurate reporting. |
(3) Transparency, a standardised methodology for metrics and calculation of impacts, as well as benchmarking classes and methodologies. | (3) Standardised methodologies are only now being developed and implemented. The uniqueness of individual properties frequently makes globally applicable benchmarking inaccurate. | (3) An internationally approved methodology of data collection, calculation, metrics and benchmarking used and described within the system. Third-party data verification. Yet benchmarking capabilities should be improved, and data uniformity should be systematically policed. |
(4) Equality in the importance of reporting key performance indicators and targets. | (4) Varying standards, policies, cultural issues and focus existing in different destinations, which may prioritise different aspects of sustainability. | (4) Flexibility in prioritising sustainability actions and individual goals depending on the destination, whilst keeping the key aspects on the agenda to ensure engagement and the desired outcome. |
(5) Transparency and standardisation of conversion factors used in calculations (carbon-dioxide for electricity and fuels, waste volume to weight and currency conversions). | (5) The process requires awareness from suppliers and destination teams, availability of information and can become time consuming at individual property level. | (5) Internationally approved conversion factors applied. |
(6) Automated, supplier driven input of relevant information (utilities, waste, consumables, costs and weather) to avoid human errors. Ideally in real time. | (6) Limited availability from suppliers and additional IT requirement related to systems compatibility and data security. | (6) Automated transfer of external drivers (weather), including utility in real time (ongoing). Availability of automated transfer of utilities or waste data in real time should be bettered. |
(7) Automated transfer of property operational data, such as room and meeting room occupancy, food and beverage covers from other business systems. | (7) Standardised definitions of various drivers do not exist across the sector (i.e., food covers). Internal systems not integrated necessitate manual work. | (7) Automated transfer of internal drivers (occupancy). |
(8) Property characteristics as defined in design, asset schedules and market positioning documents. | (8) Information may be available for new builds but incomplete for existing portfolio. | (8) Input provided locally, and accuracy verified regionally. |
(9) Evidence of donations, skills sharing/volunteering, and the numbers of individuals being directly impacted. | (9) Lack of standardised definitions and collection methods. Beneficiary organisations may not be equipped to keep track to the degree of detail required. | (9) Information sourced locally based on detailed definitions (verified internally). |
(10) Reliable, meaningful and relevant feedback in a visual, language-agnostic, intuitive and easy-to-understand format. | (10) Information being conveyed may be complex and units at different organisational levels will require different degrees of detail. | (10) Local reports visualise KPIs and provide improvement and engagement suggestions; specialised reports available for business functions and levels within the business (e.g., cost-based metrics for general managers and owners, relatable metrics) for TMs and utility consumption for engineers; regional feedback inclusive of raw data, high level and deep dive reports, single scoreboard report with all CR metrics to holistically determine progress towards the goals. However, the method of calculating predictions and the methodology behind KPI displays should be simplified. Communication to external users could be slightly improved. |
(11) Provision of tailored improvement suggestions. | (11) Solutions must be destination-appropriate, which increases complexity. | (11) Improvement tips and projects gallery available for all. |
(12) Stakeholder involvement in the development process to address business needs. | (12) Applicable only to custom made solutions and can lead to a large number of requirements. | (12) Stakeholders involved in the development process. |
(13) A flexible software platform adaptable to the heterogenic portfolio of users. | (13) Requires IT sophistication, smart development and system compatibility. | (13) A web-based platform compatible with multiple devices and operating systems. |
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Zientara, P.; Bohdanowicz-Godfrey, P.; Whitely, C.; Maciejewski, G. A Case Study of LightStay (2010–2017)—Hilton’s Corporate Responsibility Management System. Energies 2020, 13, 2303. https://doi.org/10.3390/en13092303
Zientara P, Bohdanowicz-Godfrey P, Whitely C, Maciejewski G. A Case Study of LightStay (2010–2017)—Hilton’s Corporate Responsibility Management System. Energies. 2020; 13(9):2303. https://doi.org/10.3390/en13092303
Chicago/Turabian StyleZientara, Piotr, Paulina Bohdanowicz-Godfrey, Claire Whitely, and Grzegorz Maciejewski. 2020. "A Case Study of LightStay (2010–2017)—Hilton’s Corporate Responsibility Management System" Energies 13, no. 9: 2303. https://doi.org/10.3390/en13092303
APA StyleZientara, P., Bohdanowicz-Godfrey, P., Whitely, C., & Maciejewski, G. (2020). A Case Study of LightStay (2010–2017)—Hilton’s Corporate Responsibility Management System. Energies, 13(9), 2303. https://doi.org/10.3390/en13092303