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This paper aims to answer two questions: What is the sharing economy? and How is the sharing economy affecting tourism in Canada?

The foundation of this paper was laid during a major industry event held in Ottawa in 2016 – the Ontario Tourism Summit, an annual industry conference organized by the Tourism Industry Association of Ontario (TIAO), attended by 650 industry participants. This paper is based on presentations made at the summit. The article provides key information on Airbnb and the role of TIAO in the context of shared economy.

Companies such as Airbnb, Uber and Turo have made the concept of sharing economies an everyday concept. As sharing economy is considered as a phenomenon that is here to stay, Canadian tourism and hospitality industries should embrace the disruption caused by it and ensure that this is done for mutual benefit of all stakeholders. Five key suggestions are made by the authors in their conclusions.

As this paper is mainly based on the authors’ viewpoints, prior to implementing their recommendations, further dialogue with all relevant stakeholders is needed.

This paper draws upon the authors’ experience working with Canadian tourism companies and incorporates their thoughts for practical solutions.

The provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency government data sharing (IDS) is not always spontaneous, active and unconditional. Adopting a stickiness theory, this paper reports on a research study, which explores the causes of data stickiness in IDS.

This study employed an inductive case study approach. Twenty-three officials from the government of City M in Hubei Province, Central China, were approached and interviewed using a semi-structured question script.

The analysis of the interview data pointed to 27 causes of data stickiness in five main themes: data sharing willingness; data sharing ability; data articulatability; data residence; and data absorptive capacity. The analysis revealed that interagency tensions and lack of preparedness of individual agencies are the main causes of data stickiness in IDS.

The case setting is based on China's Government, but the findings offer useful insights and indications that can be shared across international borders.

A measure of the performance of an operation at a plant is the plant labour productivity index. Deviations in this index often precede changes in the end product delivery time, and the overall company profitability. In this research, uses the M‐type Iterative Procedure and a level shift routine to model this index in terms of ARIMA (p,d,q) process, and to locate outliers and level shifts. These deviations help in identifying changes in this productivity index.

In 2001, Euronext‐Liffe introduced single security futures contracts for the first time. The purpose of this paper is to examine the impact that these single security futures had on the volatility of the underlying stocks.

The Inclan and Tiao algorithm was used to show that the volatility of underlying securities did not change after universal futures were introduced.

It was found that in the aftermath of the introduction of universal futures the volatility of the underlying securities increases. Increased volatility is not apparent in the control sample. This suggests that single security futures did have some impact on the volatility of the underlying securities.

Despite the huge literature that has examined the effects of a futures listing on the volatility of underlying stock returns, little consensus has emerged. This paper adds to the dialogue by focusing on the effects of a single security futures contract rather than concentrating on the effects of index futures contracts.

This phenomenological study aims to explore how media promote and should promote wheelchair rugby.

Semi-structured interviews were conducted with 31 athletes at National Wheelchair Rugby Championship. In using a reflective thematical analysis approach, three themes were identified – media coverage: the promise of an unknown quantity; the battle of inspiration and athleticism; and leverage marketing and promote the “wow”.

Lacking fair representation from media resulting in the perception and reception gap between the general public and spectators was identified and explained by most of the athletes. Besides urging increased coverage with a shifting focus on athleticism, the important role of marketing was highlighted.

In short, the “wow” factor of the sport is its aggressiveness which can be its bestselling feature and used by stakeholders for maximum impact when marketing wheelchair rugby.

This paper explores the potential competitive advantages from the development of an internal network of subsidiaries and external network of alliances. Given the broad scope and lack of systematic investigation in prior research, clinical field research was conducted in eleven Japanese subsidiaries in China. Our in‐depth interviews revealed that there are benefits and costs associated with the development of both subsidiary networks and alliance networks. While there are exploitation and exploration benefits from subsidiary network development, internationalizing firms (especially smaller firms) are subject to the liability of foreignness. Alliance network development is an effective way to mitigate this liability if internationalizing firms choose the right alliance strategy.

The main goal of this paper is to investigate whether there is long-memory behavior in the CBOE Brazil ETF volatility index (named here VIXBR). As structural breaks may create a spurious long-range dependence, the presence of structural breaks is also gauged.

The study considers the period from October 2011 to March 2021, using daily data. To test the long-memory behavior, three empirical approaches are adopted: GPH, ELW and robust GPH (RGPH) estimator. To estimate the structural break points adopted to date the subsamples, the ICSS algorithm is used.

Results considering the total period (TP) and subsamples show that the breaks did not create a spurious long-memory behavior and together with the rolling estimation, reveal strong evidence of the long-range dependence in the CBOE Brazil ETF volatility index. The higher degree of persistent of the VIXBR series suggests an extended period of increased uncertainty that agents need consider when making their investment decision.

As possible extension of this study is to investigate the behavior of long memory and structural breaks for different frequencies (weekly, monthly, among others).

The presence of long-range dependence in the CBOE Brazil ETF volatility index reveals that the past information is important for the predictability of risks, and therefore, can help to protect against market risks, which has important implications regarding the future decisions of economic agents (for example, policy makers and investors).

Brazil is an emerging capital market (ECM) that has attracted a great deal of attention from investors and investment funds seeking to diversify its assets. This paper contributes to the empirical financial literature, by studying the long-memory behavior of the CBOE Brazil ETF volatility index, considering possible structural breaks. To the best of knowledge, this has not been done so far.

The purpose of this offered research is to articulate a multifaceted kind of highly unstable initial perturbation and further analyze the performance of the plasma particles for time-fractional order evaluation.

For this purpose, the authors designed specific geometry and further interpreted it into the mathematical model using the concepts of the Vlasov Maxwell system. The suggested algorithm is based on the finite-difference and spectral estimation philosophy. The management of time and memory in generic code for computational purposes is also discussed.

The main purpose is to analyze the fractional behavior of plasma particles and also the capability of the suggested numerical algorithm. Due to initial perturbations, there are a lot of sudden variations that occurred in the formulated system. Graphical behavior shows that SR parameter produces devastation as compared to others. The variation of fractional parameter between the defend domain demonstrates the hidden pictures of plasma particles. The design scheme is efficient, convergent and has the capability to cover the better physics of the problem.

Plasma material is commonly used in different areas of science. Therefore, in this paper, the authors increase the capability of the mathematical plasma model with specific geometry, and further suitable numerical algorithm is suggested with detailed physical analysis of the outcomes. The authors gave a new direction to study the performance of plasma particles under the influence of LASER light.

In the recent era, science has produced a lot of advancements to study and analyze the physical natural process, which exist everywhere in the real word. On behalf of this current developments, it is now insufficient to study the first-order time evaluation of the plasma particles. One needs to be more precise and should move toward the bottomless state of it, that is, macroscopic and microscopic time-evaluation scales, and it is not wrong to say that there exits a huge gap, to study the time evaluation in this discussed manner. The presented study is entirely an advanced and efficient way to investigate the problem into the new directions. The capability of the proposed algorithm and model with fractional concepts can fascinate the reader to extend to the other dimensions.

The chapter attempts to evaluate the utility of applying multi-level governance outside of the EU, and also outside of the group of democratic states, to states that have defied the third wave of democratization and that are characterized by a so-called new authoritarianism. The case is the People’s Republic of China, and the focus falls on policy-making and implementation in the field of hydropower with special attention to the issue area of environmental protection.

The chapter draws on the notion of scales and indigenous Chinese governance concepts and brings these into a conversation with the concept of multi-level governance. Case studies on hydropower decision-making in China contribute empirical data in order to investigate the utility of multi-level governance in the Chinese governance context.

The chapter argues that if multi-level governance is to have utility in other cultural contexts it needs to move away from a consideration of pre-given scales as locus of authority and consider indigenous governance concepts and notions of scale, and it crucially needs to map power relationships in the making and implementation of policies in order to reach analytical depth.

The case of China shows that authoritarian regimes can be analysed in terms of multiple levels as authoritarianism no longer automatically implies strict top-down entities. Instead, autocracies can be highly fragmented and subject to complex decision-making processes that can arise during processes of administrative reform. This can lead to vibrant and reflexive systems of governance that exhibit adaptive skills necessary to ensure regime survival amidst a continuously diversifying society and changing external circumstances. As a consequence, a research programme looking at the new authoritarianism from a multi-level governance perspective has the capacity to uncover and describe new forms of governance, by bringing the concept into a conversation with indigenous governance concepts.

In China, informal networks between the energy bureaucracy and hydropower developers determine the hydropower decision-making process. This is particularly detrimental at a time when the Chinese government emphasizes the importance of the rule of law and social stability. Informal networks in which key government agencies are involved actively thwart the attempt of creating reliable institutions and more transparent and accountable processes of decision-making within the authoritarian governance framework.

The findings show the dominance of informal networks versus the formal decision-making process. This sidelines the environmental bureaucracy and fails to fully realize the importance of public input into the decision-making process as one potential element of institutionalized conflict resolution.

The chapter builds on existing multi-level governance approaches and fuses them with notions of scales and indigenous Chinese governance concepts in order to enable the applicability of the concept of multi-level governance outside of its area of origin. This advances the explanatory depth and theoretical reach of multi-level governance.

This paper compares the out-of-sample forecasting performance of three long-memory volatility models (i.e., fractionally integrated (FI), break and regime switching) against three short-memory models (i.e., GARCH, GJR and volatility component). Using S&P 500 returns, we find that structural break models produced the best out-of-sample forecasts, if future volatility breaks are known. Without knowing the future breaks, GJR models produced the best short-horizon forecasts and FI models dominated for volatility forecasts of 10 days and beyond. The results suggest that S&P 500 volatility is non-stationary at least in some time periods. Controlling for extreme events (e.g., the 1987 crash) significantly improved forecasting performance.