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This study examines forecast accuracy associated with the forecast of 55 revenue data series of 18 local governments. The last 18 months (6 quarters; or 2 years) of the data are held-out for accuracy evaluation. Results show that forecast software, damped trend methods, and simple exponential smoothing methods perform best with monthly and quarterly data; and use of monthly or quarterly data is marginally better than annualized data. For monthly data, there is no advantage to converting dollar values to real dollars before forecasting and reconverting using a forecasted index. With annual data, naïve methods can outperform exponential smoothing methods for some types of data; and real dollar conversion generally outperforms nominal dollars. The study suggests benchmark forecast errors and recommends a process for selecting a forecast method.

This chapter evaluates the cross-national variations in the proportion of employment that is in informal sector enterprises and evaluates competing theories which view these cross-national variations to result from either economic underdevelopment (modernisation explanation), high taxes, public sector corruption and over-regulation of work and welfare (neo-liberal explanation) or conversely, a lack of intervention in the realm of social protection (political economy explanation).

To evaluate these competing explanations, the International Labour Organisation’s (ILO) country surveys that investigate the scale of employment in informal sector enterprise in 43 developing and transition economies, along with the World Bank database of development indicators, are analysed here.

The finding is that lower levels of employment in informal sector enterprises are closely associated with economic development, lower levels of public sector corruption and state intervention in the form of higher tax rates and social transfers to protect workers from poverty.

This chapter reveals the need to move beyond treating these contrasting representations as competing explanations and to recognise how all are required to more fully explain the prevalence of informal sector entrepreneurship.

Tackling employment in informal sector enterprise is shown to require broader economic and social policies associated with the modernisation of economies, tax rates, social protection and poverty alleviation.

One of the first evaluations of the competing explanations for why some countries have higher levels of employment in informal sector enterprises.

The purpose of this paper is to provide a review of the mobile shopping (m-shopping) acceptance literature to bring international marketing and consumer research attention to m-shopping acceptance factors and limitations in current understandings to propose recommendations for further academic and retailing attention.

Keyword searches identified the consumer-focused literature across mobile commerce, m-shopping, mobile browsing and mobile purchasing, published in English language journals. A classification framework is created and a time frame is established to provide a more focused direction for research.

Despite the growing popularity of consumers adopting m-shopping activities and the increasing academic attention, consumer m-shopping utilisation remains low and research into its causes remains in its infancy. This paper has subsequently identified a variety of recommendations for further research, including further insights into perceived risk, user vs non-user behaviours, the multi-stage shopping process, incorporation of time considerations and theoretical development.

There has yet been a review of the m-shopping literature collaborating literary findings and limitations in the consumer m-shopping environment. Three major themes arise in this paper. First, there are a variety of factors affecting consumer willingness to accept m-shopping which are often incorporated in existing theory in a sporadic manner. Second, factors can create positive and/or negative consumer perceptions, requiring further insight. Finally, research limitations predominantly surround theoretical and methodological constraints, prompting for wider geographical and more longitudinal approaches to research.

Across countless generations, Aboriginal and Torres Strait Islander people have had a vision for the health and well-being of all elements of Australia and its people. This includes directions for preventing inequity, crime, environmental degradation and illness. But the paths to take – and the knowledges that exist – have long been flooded by a negative discourse about Aboriginal and Torres Strait Islander people that blames, shames and discriminates, locating over-representation in prisons and poor health and well-being as a cultural deficit, apportioned to individuals rather than the complex systems and politics of knowledge construction that surround it. Rural criminology has an opportunity to change tracks to redress the lack of cultural competence training and cultural safety planning among its workforce – the 97 percent who have the power to create change for the small and young population of Aboriginal and Torres Strait Islander people. This chapter identifies steps in the path to change and opportunities for rural criminology including identifying shared determinants of justice and health, decolonising evidence for decision-making and improving accountability including through partnerships with Aboriginal and Torres Strait Islander community leaders. This chapter asserts a freedom and confidence that emanates from decolonising methodologies, reflexivity in research and meeting aspirations of local community Elders and leaders with Aboriginal and Torres Strait Islander cultural values and strengths. ‘Next steps’ in constructing a more culturally responsive rural criminology are presented, with a summary of roles and spheres of influence to consider.

The purpose of this paper is to examine how Robbins ES has sustained high academic performance over almost 20 years despite several changes in principals.

The paper analyzed longitudinal data based on: state-level academic and demographic data; two earlier studies of the school; and recent interviews with teachers, the principal, and parent leaders.

The analyses of these longitudinal data revealed four ongoing factors were responsible for sustained academic performance: high expectations, distributed leadership, collective responsibility for student performance, and data-based decision making. However, challenges that persistently confront Robbins staff include limited resources (e.g. technology and library materials), high mobility rate, and some cases of unsupportive parents.

This study adds to understanding how high-need urban schools can sustain high academic performance in spite of changes in principals, shifting community demographics, and high student mobility.