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Sacred forests are biocultural landscapes deeply rooted in centuries-old traditions of spiritual veneration. These sacred sites, including shrines, temple forests churches and graveyards, have historically been significant reservoirs of traditional resource management practices underpinned by spiritual reverence. However, despite their cultural and ecological importance, the cultural ecosystem services inherent to these sacred forests remain unexplored, particularly in urban settings.

This study focused on six sacred sites within Kanazawa City, Japan, using a meticulous face-to-face survey with 342 participants. We collected data on the extent of forest utilisation, the breadth of activities engaged in by visitors and their holistic appraisal of the rendered cultural ecosystem services. The findings illustrate the multifaceted benefits of urban sacred forests, encompassing participation in religious ceremonies, cultural events and festivals, complemented by educational programming that elucidates the historical and traditional underpinnings of the shrines and their surrounding communities.

It has been observed that urban forests have a crucial role in providing spiritual and communal connectivity, preserving traditional heritage, offering vital aesthetic values as green spaces and making visitors connected with nature while they are in the urban landscape. However, a concerning trend has emerged, as the younger demographic appears to lack interest in participating in the stewardship and cultural activities associated with these biocultural landscapes. Community engagement strategies must be strengthened, conservation measures should be implemented and cultural awareness programs need to be established to ensure the perpetuation and appreciation of these valuable urban sacred forests.

This study provides original perspectives on the measurable cultural ecosystem services and intangible values associated with urban sacred forests using the sacred forests in Kanazawa City, Japan. Our research illuminates the various advantages that visitors derive by examining the intersection of spiritual traditions, resource management practices and cultural significance, which has been relatively unexplored. The present study provides a significant basis for establishing initiatives that seek to promote the cultivation of respect and responsibility towards urban sacred forests.

To ensure that students are well prepared to successfully analyze this case, they should be familiar with the following concepts, theories and principles:

▪ Stakeholder theory

▪ Concept of duty to consult and accommodate

▪ Concept of social license to operate (SLO)

▪ Concept of indigenous economic self-determination

▪ Indigenous world view

▪ Seventh generation principle

▪ Cree principles

▪ Dene principles

The information provided in this case was gathered by the authors through face-to-face interviews, phone interviews, e-mail exchanges and secondary research. Meadow Lake Tribal Council (MLTC) separates business operations from council operations through use of corporate entities (as shown in Exhibit 1 of the case). Meadow Lake Tribal Council II (MLTCII) is the corporate entity that oversees two companies referenced in the case: Mistik Management and NorSask Forest Products LP. Interviews were conducted with the General Manager at Mistik Management, Certification Coordinator at Mistik Management, Chief of Buffalo River Dene Nation, Chief of Waterhen Lake First Nation, MLTC Vice-Chief, Board Member and Advisor to MLTCII, President and CEO of MLTCII, MLTCII Business Development Consultant and a former consultant with MLTC, NorSask Forest Products and Mistik Management.

Mistik Management Ltd., a forestry management company co-owned by the nine First Nations of MLTC, was a leader in economic reconciliation in 2022. However, the company had dealt with significant challenges not long after it was established in 1989. Richard Gladue, former Chief of the one of MLTCs Member First Nations and a leader in economic development at MLTC, had been actively involved in establishing the organization. Gladue loved the life and vitality of the boreal forest in the Meadow Lake region and felt a sense of responsibility to take care of the forest and the land for generations to come. This responsibility was balanced with the acknowledgement that the forest also provided vast economic development, employment and wealth generation opportunities for MLTC and its Member First Nations.

In the early 1990s, MLTC and Mistik Management dealt with a year-long blockade by a group of protesters that included members of Canoe Lake Cree First Nation, one of the Member First Nations of MLTC. They had not been consulted on Mistik’s processes and policies, and the company’s clear-cut logging had affected their ability to continue their traditional way of life and practices on the land. After the incident, Mistik Management moved more quickly to invest in a co-management process that they were still refining and using in 2022 when consulting with Indigenous groups and communities.

A natural resource economy brings together Indigenous peoples, industry and government. In this case, students will learn about the important role that relationships play and how decisions are made when balancing complex legal, environmental and economic interests. Students will learn about the history of duty to consult and accommodate in Canada; conduct a stakeholder analysis and reflect on how decisions affect stakeholder interests; and make recommendations for meaningful Indigenous engagement strategies using the concept of social license and indigenous principles.

This case is suitable for use in undergraduate courses on indigenous business, ethical decision-making, public policy and/or natural resource development. There may also be applications in other fields of study, including anthropology, economics and political science.

If the case is used in an indigenous business course, it would be best positioned in the last third of the class, after topics such as duty to consult and accommodate, social license and meaningful engagement with indigenous communities have been covered. If used in an ethical decision-making course, it would be best used when discussing stakeholder theory and engaging in stakeholder analysis. If used in a public policy course, the case could be used to start a discussion around the duty to consult and accommodate indigenous communities in Canada. If used in a natural resource development course, the case would be best used as an example of indigenous economic development.

This study aims to identify an automated machine learning algorithm with high accuracy that sport practitioners can use to identify the specific factors for predicting Major League Baseball (MLB) attendance. Furthermore, by predicting spectators for each league (American League and National League) and division in MLB, the authors will identify the specific factors that increase accuracy, discuss them and provide implications for marketing strategies for academics and practitioners in sport.

This study used six years of daily MLB game data (2014–2019). All data were collected as predictors, such as game performance, weather and unemployment rate. Also, the attendance rate was obtained as an observation variable. The Random Forest, Lasso regression models and XGBoost were used to build the prediction model, and the analysis was conducted using Python 3.7.

The RMSE value was 0.14, and the R2 was 0.62 as a consequence of fine-tuning the tuning parameters of the XGBoost model, which had the best performance in forecasting the attendance rate. The most influential variables in the model are “Rank” of 0.247 and “Day of the week”, “Home team” and “Day/Night game” were shown as influential variables in order. The result was shown that the “Unemployment rate”, as a macroeconomic factor, has a value of 0.06 and weather factors were a total value of 0.147.

This research highlights unemployment rate as a determinant affecting MLB game attendance rates. Beyond contextual elements such as climate, the findings of this study underscore the significance of economic factors, particularly unemployment rates, necessitating further investigation into these factors to gain a more comprehensive understanding of game attendance.

This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?

This paper aims to apply several data mining techniques for predicting the daily precision improvement of Jakarta Islamic Index (JKII) prices based on big data of symmetric volatility in Indonesia’s Islamic stock market.

This research uses big data mining techniques to predict daily precision improvement of JKII prices by applying the AdaBoost, K-nearest neighbor, random forest and artificial neural networks. This research uses big data with symmetric volatility as inputs in the predicting model, whereas the closing prices of JKII were used as the target outputs of daily precision improvement. For choosing the optimal prediction performance according to the criteria of the lowest prediction errors, this research uses four metrics of mean absolute error, mean squared error, root mean squared error and R-squared.

The experimental results determine that the optimal technique for predicting the daily precision improvement of the JKII prices in Indonesia’s Islamic stock market is the AdaBoost technique, which generates the optimal predicting performance with the lowest prediction errors, and provides the optimum knowledge from the big data of symmetric volatility in Indonesia’s Islamic stock market. In addition, the random forest technique is also considered another robust technique in predicting the daily precision improvement of the JKII prices as it delivers closer values to the optimal performance of the AdaBoost technique.

This research is filling the literature gap of the absence of using big data mining techniques in the prediction process of Islamic stock markets by delivering new operational techniques for predicting the daily stock precision improvement. Also, it helps investors to manage the optimal portfolios and to decrease the risk of trading in global Islamic stock markets based on using big data mining of symmetric volatility.

This research is a pioneer in using big data mining of symmetric volatility in the prediction of an Islamic stock market index.

This study aims to determine the effects of lodging infrastructure development (LID) on Cordillera Administrative Region’s (CAR) environmental quality and natural resource management and its implication to globally responsible leadership. Specifically, this study sought to determine the contribution of LID to environmental deterioration and natural resource degradation in the CAR. As a result, a mathematical model is developed, which supports sustainability practices to maintain the environmental quality and natural resource management in CAR, Philippines.

This study used a descriptive research design using a mixed-methods approach. Self-structured interview and survey were used to gather the data. The population of this study involved three groups. There were 6.28% (34) experts in the field for the qualitative data, 70.24% (380) respondents for the quantitative data and 23.47% (127) from the lodging establishments. 120 respondents from the Department of Tourism – CAR (DOT-CAR) accredited hotels. Nonparametric and nonlinear regression analysis was used to process the data.

The effects of LID on the environmental quality and natural resource management in CAR as measured through carbon emission from liquefied petroleum gas (LPG), electricity and water consumption in the occupied guest rooms revealed a direct correlation between the LID. Findings conclude that the increase in tourist arrival is a trigger factor in the increase in LID in the CAR. The increase in LID implies a rise in carbon emission in the lodging infrastructure. Any increase in tourist arrivals increases lodging room occupancy; the increased lodging room occupancy contributes to carbon emissions. Thus, tourism trends contribute to the deterioration of the environmental quality and degradation of the natural resources in the CAR. A log-log model shows the percentage change in the average growth of tourist arrival and the percentage increase in carbon emissions. Establishments should observe standard room capacity to maintain the carbon emission of occupied lodging rooms at a minimum. Responsible leadership is a factor in the implementation of policy on standard room capacity.

The result of the study has some implications for the lodging businesses, the local government unit (LGU), the Department of Tourism (DOT) and the Department of Environment and Natural Resources (DENR) in the CAR. The study highlights the contribution of the lodging establishments to CO₂ emission, which can degrade the quality of the environment, and the implication of responsible leadership in managing natural resources in the CAR. The direct inverse relationship between energy use and CO₂ emission in hotels indicates that increased energy consumption leads to environmental degradation (Ahmad et al., 2018). Therefore, responsible leadership among policymakers in the lodging and government sectors – LGU, DOT and DENR – should abound in the CAR. Benchmarking on the model embarked from this study can help in designing and/or enhancing the policy on room capacity standardization, considering the total area with its maximum capacity to keep the carbon emission at a lower rate. Furthermore, as a responsible leader in the community, one should create programs that regulate the number of tourists visiting the place to decrease the number of overnight stays. Besides, having the political will to implement reduced room occupancy throughout the lodging establishments in CAR can help reduce the carbon emissions from the lodging businesses. After all, one of the aims of the International Environment Protection Organization is to reduce CO₂ emissions in the tourism industry. Hence, responsible leadership in environmental quality preservation and sustainable natural resource management must help prevent and avoid greenhouse gas (GHG) emissions.

Most studies about carbon emission in the environment tackle about carbon dioxide emitted by transportation and factories. This study adds to the insights on the existing information about the carbon emission in the environment from the lodging establishments through the use of LPG, electricity and water consumption in the occupied guest rooms. The findings of the study open an avenue for globally responsible leadership in sustaining environmental quality and preservation of natural resources by revisiting and amending the policies on the number of room occupancy, guidelines and standardization, considering the total lodging area with its maximum capacity to keep the carbon emission at a minimum, thus contributing to the lowering of GHG emissions from the lodging industry.

In this article, the authors analyse a complex social process affecting historic public paths in rural areas in southern Spain. Despite the fact that urban populations are demanding the enhancement of this type of natural heritage for tourism, sports and recreational use, some parts of the network have been abandoned or usurped.

The study is multidisciplinary, comprising three interlinked studies. The cartographic study comprises an inventory of public paths in rural areas based on administrative sources. The legal study analyses local, regional and national regulations governing agricultural, environmental, heritage, sports and tourism uses of the infrastructure. The sociological study analyses social discourses on the uses of public paths, and identifies conflicts between farmers, landowners, environmentalists, sportspeople and tourists.

The preliminary results identified an important public paths network in Andalusia, approximately 160,000 km. The legal study found that there are laws regulating use, although local authorities do not monitor compliance or provide solutions to enhance management. The sociological study determined the attribution of environmental, cultural and economic value to public paths, but also the existence of conflicts between rural and urban populations.

Given that this is ongoing research, only state of the art and some preliminary albeit sufficiently consistent results are presented.

The results could help to guide public policy and governance of public paths.

Public paths promote rural development and a green/sustainable economy.

The research results and conclusions are original.

Unstructured data such as images have defied usage in property valuation for a long time. Instead, structured data in tabular format are commonly employed to estimate property prices. This study attempts to quantify the shape of land lots and uses the resultant output as an input variable for subsequent land valuation models.

Imagery data containing land lot shapes are fed into a convolutional neural network, and the shape of land lots is classified into two categories, regular and irregular-shaped. Then, the intermediate output (regularity score) is utilized in four downstream models to estimate land prices: random forest, gradient boosting, support vector machine and regression models.

Quantification of the land lot shapes and their exploitation in valuation led to an improvement in the predictive accuracy for all subsequent models.

The study findings are expected to promote the adoption of elusive price determinants such as the shape of a land lot, appearance of a house and the landscape of a neighborhood in property appraisal practices.

This paper presents the biography of one of Australia’s earliest female accountants, Miss Evelyn Maude West (aka Eva). The paper uses this history sub-genre to understand the significant impacts Eva West made across several fields. Eva West was not only a pioneer woman accountant but also an active philanthropist with an interest in social issues and a nature lover who promoted and encouraged an appreciation of the environment.

The paper leverages a diverse array of qualitative resources, responding to Carnegie and Napier's (1996) call to expand the concept of the accounting-based archive. Notably, rare nature study diaries and a book detailing camping adventures serve as poignant examples, illustrating Eva West's profound social and environmental engagement. Additionally, personal and business letters, digitised newspapers, pamphlets, annual reports, minute books and even poems contribute to the comprehensive exploration of Eva West's life and impact. Collectively, these varied sources offer a rich tapestry of evidence, facilitating the documentation of this unique narrative.

Throughout her life, Eva West made significant contributions as a pioneering woman in the field of accounting, a dedicated philanthropist and a passionate environmentalist. Together, these offer a multifaceted portrait of a well-rounded individual. With a solid foundation in accounting, Eva utilized her expertise to benefit numerous charitable organisations, leaving a lasting impact on the community. Moreover, her deep love for the environment is illustrated in nature study diaries and books documenting her camping adventures, highlighting the interconnectedness between her accounting pursuits and her commitment to environmental stewardship.

While previous studies briefly mention the additional contributions of early women to various organisations and movements, none provide the depth of insight seen in the portrayal of Miss Eva West. Rather than critiquing these earlier narratives, this observation presents an opportunity for further research to honour pioneering individuals for their multifaceted roles beyond accounting. Future studies could spotlight trailblazers as accountants with diverse interests and societal contributions, whether in social or environmental spheres. Additionally, this paper demonstrates how archives maintained by individuals, such as nature or travel diaries and camping books, can enrich accounting and accountability-based historical research.

Biographical studies in accounting have played a significant role in advancing historical research, yet there remains a call for additional studies to gain deeper insights into specific individuals. Few biographical narratives have explored how accountants integrate their professional careers with other interests, particularly highlighting the well-roundedness of individuals, especially women. Furthermore, this paper contributes to filling the gap in research that examines the intersection of accounting professionals and environmental concerns.