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The purpose of this paper is to illustrate how emotion display rules are influenced by relational, occupational, and cultural expectations.

The authors compare these influences by assessing anger and happiness display rules toward customers, coworkers, and supervisors across four cultures.

Overall, the findings suggest that anger can be expressed with coworkers, can be slightly leaked to supervisors, but must be almost completely suppressed with customers. In contrast, happiness expression is most acceptable with coworkers. Moreover, though culture dimensions (i.e. power distance and collectivism) do predict display rules with organizational members, display rules with customers are fairly consistent across culture, with two exceptions. French respondents are more accepting of anger expression with customers, while American respondents report the highest expectations for expressing happiness to customers.

The results support that several countries share the “service with a smile” expectations for customers, but these beliefs are more strongly held in the USA than in other cultures. Thus, importing practices from the USA to other culturally distinct countries may be met with resistance. Management must be aware of cultural differences in emotions and emotion norms, as outlined here, to improve the experience of employees of globalized service organizations.

The authors integrate social, occupational, and cultural theoretical perspectives of emotional display rules, and build on the small but growing research identifying variation in display rules by work target, specifically speaking to the globalized “service culture.”

The article aims to establish whether the degree of aversion to inflation and the responsiveness to deviations from potential output have changed over time.

This paper assesses time variation in monetary policy rules by applying a time-varying parameter generalised methods of moments (TVP-GMM) framework.

Using monthly data until December 2022 for five inflation targeting countries (the UK, Canada, Australia, New Zealand, Sweden) and five countries with alternative monetary regimes (the US, Japan, Denmark, the Euro Area, Switzerland), we find that monetary policy has become more averse to inflation and more responsive to the output gap in both sets of countries over time. In particular, there has been a clear shift in inflation targeting countries towards a more hawkish stance on inflation since the adoption of this regime and a greater response to both inflation and the output gap in most countries after the global financial crisis, which indicates a stronger reliance on monetary rules to stabilise the economy in recent years. It also appears that inflation targeting countries pay greater attention to the exchange rate pass-through channel when setting interest rates. Finally, monetary surprises do not seem to be an important determinant of the evolution over time of the Taylor rule parameters, which suggests a high degree of monetary policy transparency in the countries under examination.

It provides new evidence on changes over time in monetary policy rules.

The purpose of this paper is to discuss the potential benefits of monetary policy rules for transition economies (TEs).

The paper discusses monetary policy rules, inflation targeting, political risk and ambiguity and monetary policy and ambiguity.

It is argued that the nominal interest rate may fail to be the appropriate instrument in such rules. One reason is the amount of non‐calculable political and economic risk inherent in TEs. These risks lead to a significant and volatile‐ambiguity premium in the interest rate over and above the normal risk premium, which makes the real equilibrium interest rate difficult to measure. Furthermore, ambiguity of the public regarding the monetary policy leads to an ambiguity premium on inflation.

The paper advocates a simple monetary policy rule based on a monetary aggregate like the money base minimizes the impact of ambiguity. It may therefore be the appropriate monetary policy for TEs.

Sufficiently persistent rise in nominal interest increases inflation rate in short-run. This short-run comovement of nominal interest rate and inflation rate is known as Neo-Fisherianism. This chapter proposes a policy based on Neo-Fisherianism to escape Zero Lower Bound (ZLB) using a textbook Forward Looking New Keynesian Model. I have shown that proposed policy with properly chosen inflation target and persistence can stimulate economy and escape ZLB by raising nominal interest rate. I have also shown that the proposed policy is robust to varying degrees of price stickiness.

Process mining tools can help discover and improve the business processes of urban community services from historical service event records. However, for the community service domains with small datasets, the effects of process mining are generally limited due to process incompleteness and data noise. In this paper, a cross-domain knowledge transfer method is proposed to help service process discovery with small datasets by making use of rich knowledge in similar domains with large datasets.

First, ontology modeling is used to reduce the effects of cross-domain semantic ambiguity on knowledge transfer. Second, association rules (of the activities in the service processes) are extracted with Bayesian network. Third, applicable association rules are retrieved using an applicability assignment function. Further, the retrieved association rules in domains with large datasets are mapped to those with a small dataset using a linear programming method, with a heuristic miner being adopted to generate the process model.

The proposed method is verified based on the empirical data of 10 service domains from Beidaihe, China. Results show that process discovery performance of all 10 domains were improved with the overall robustness score, precision, recall and F1 score increased by 13%, 13%, 17% and 15%, respectively. For the domains with only small datasets, the cross-domain knowledge transfer method outperforms popular state-of-the art methods.

The limitations of sample sizes are greatly reduced. This scheme can be followed to establish business process management systems of community services with reasonable performance and limited sample sizes.

Questionnaire surveys made at currency markets around the world reveal that currency trade to a large extent not only is determined by an economy's performance or expected performance. Indeed, a fraction is guided by technical trading, which means that past exchange rates are assumed to provide information about future exchange rate movements. The purpose of this paper is to ask how a successful monetary policy should be designed when technical trading in the form of trend following is used in currency trading.

The paper embeds an optimal policy rule into Galí and Monacelli's dynamic stochastic general equilibrium (DSGE) model for a small open economy, which is augmented with trend following in currency trading, to examine the prerequisites for a successful monetary policy. Specifically, the conditions for a determinate rational expectations equilibrium (REE) that also is stable under least squares learning are in focus. The paper also computes impulse‐response functions for key variables to study how the economy returns to steady state after being hit by a shock.

The paper finds that a determinate REE that also is stable under least squares learning often is the outcome when there is a limited amount of trend following in currency trading, but that a more flexible inflation rate targeting in monetary policy sometimes cause an indeterminate REE in the economy. Thus, strict, or almost strict, inflation rate targeting in monetary policy is recommended also when there is technical trading in currency trading and not only when all currency trading is guided by fundamental analysis (in the form of rational expectations). This result is a new result in the literature.

There are already models in the literature on monetary policy design that incorporate technical trading in currency trading into an otherwise standard DSGE model. There is also a huge amount of DSGE models in the literature in which monetary policy is optimal. However, the model in this paper is the first model, to the best of the author's knowledge, where technical trading in currency trading and optimal monetary policy are combined in the same DSGE model.

The purpose of this paper is to describe an approach towards code validation of RISC microcontrollers, which helps to automate software debugging. A static machine code analysis which checks the appropriateness of instructions in a sequence to identify any logical mistakes and also to identify redundant codes appearing in a program for the target processor is presented.

Validation is done with the help of rules of inferences formulated for the target processor. The rules govern the occurrence of illegitimate/out of place instructions and code sequences for executing the computational and integrated peripheral functions. The stipulated rules are encoded in propositional logic formulae and their compliance is tested in all possible execution paths of the application programs. An incorrect sequence of machine code pattern is identified using slicing techniques on the control flow graph generated from machine code.

The results explain that the technique is independent of compiler/assembler and contributes to early detection of software bugs that are otherwise hard to detect. Program states are identified mainly with machine code pattern, which drastically reduces the state space creation contributing to an improved state‐of‐the‐art model checking.

Though the technique described is general, the implementation is highly architecture oriented, and hence the feasibility study is conducted only on PIC16F87X microcontrollers.

This validation tool can be integrated to the system development environment resulting in improved software quality and reduced debugging time.

It is a novel and original approach at machine code level applicable to a wide range of processors once appropriate rules are available.

The new economic-policy regime in Sweden in the 1990s included deregulation, central-bank independence, inflation targets and fiscal rules but also active labour market policy and voluntary incomes policy. This chapter describes the content, determinants and performance of the new economic policy in Sweden in a comparative, mainly Nordic, perspective. The new economic-policy regime is explained by the deep recession and budget crisis in the early 1990s, new economic ideas and the power of economic experts. In the 1998–2007 period, Sweden displayed relatively low inflation and high productivity growth, but unemployment was high, especially by national standards. The restrictive monetary policy was responsible for the low inflation, and the dynamic (ICT) sector was decisive for the productivity miracle. Furthermore, productivity increases in the ICT sector largely explains why the Central Bank undershot its inflation target in the late 1990s and early 2000s. The new economic-policy regime in Sweden performed well during the global financial crisis. However, as in other OECD countries, the moderate increase in unemployment was largely attributed to labour hoarding. And the rapid recovery of the Baltic countries made it possible for Sweden to avoid a bank crisis.